Statistics on the rules before the max rule to print filtering
Statistics on the rules :
Number of rules:247
Number of conditions:
1 : 41 (16%)
2 : 160 (64%)
3 : 46 (18%)
id:
55
similarId:
56
base
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confidence: 0.64583331346511841
confidence bounds at 95%: [ 0.6337316632270813 , 0.65793496370315552 ]
support: 1
number of use :6000
number of events to predict :3586
number of events predicted: 3586
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :44.473137212335359
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.2790719486075727e-205
density ln. v2 :477.41743978900502
dist. expected v3 :26.02765255272589
density v3 :3.1402629146801941e-148
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :32.68260080155941
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :32.682600801558735
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.65383332967758179
confidence bounds at 95%: [ 0.64179527759552002 , 0.66587138175964355 ]
support: 1
number of use :6000
number of events to predict :3599
number of events predicted: 3599
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :45.004000573068637
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.2582141629641181e-208
density ln. v2 :486.067663815885
dist. expected v3 :26.349738361219366
density v3 :6.8185016583741127e-152
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :33.035957689972832
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :33.035957689973557
cum. density train v5 :0
cum. density test v5 :0
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -3.134649588491123
creation time: 3.6120000000000001
#id:55
a
← r (temp) [ -4.0079999998211857 -0.0099999997764825821 ]
( 393 637 536 583 561 542 582 536 )
BASE: confidence: 0.64583331346511841 confidence bounds at 95%: [ 0.6337316632270813 , 0.65793496370315552 ] support: 1 number of use :6000 number of events to predict :3586 number of events predicted: 3586 dataset range :99988.185138863177
OLD: confidence: 0.65383332967758179 confidence bounds at 95%: [ 0.64179527759552002 , 0.66587138175964355 ] support: 1 number of use :6000 number of events to predict :3599 number of events predicted: 3599 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="55" score="-3.134649588491123" creationTime="3.6120000000000001" confidence = "0.64583331346511841" support = "1" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "3586" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.64583331346511841" basesupport = "1" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "3586" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.9980000000447031" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.65383332967758179" oldsupport = "1" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "3599" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.9980000000447031" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="56" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="393"/><i v="637"/><i v="536"/><i v="583"/><i v="561"/><i v="542"/><i v="582"/><i v="536"/></values>
<bounds><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
51
similarId: *none*
base
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confidence: 0.65366667509078979
confidence bounds at 95%: [ 0.64162725210189819 , 0.6657060980796814 ]
support: 1
number of use :6000
number of events to predict :3586
number of events predicted: 3586
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :45.052903201817053
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.2806935335411133e-208
density ln. v2 :486.75547429272535
dist. expected v3 :26.347134943635837
density v3 :7.3026385847440625e-152
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :33.083770881115584
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :33.083770881114901
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.66033333539962769
confidence bounds at 95%: [ 0.64834970235824585 , 0.67231696844100952 ]
support: 1
number of use :6000
number of events to predict :3599
number of events predicted: 3599
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :45.500250751239797
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.657216221256905e-211
density ln. v2 :492.7194706132247
dist. expected v3 :26.616275458908529
density v3 :5.8631747823999549e-155
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :33.370128305307162
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :33.370128305307894
cum. density train v5 :0
cum. density test v5 :0
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -3.2042081749897919
creation time: 3.5920000000000001
#id:51
a
← r (temp) [ -4.5077499998267747 -0.0099999997764825821 ]
( 122 393 637 536 583 561 542 582 536 )
BASE: confidence: 0.65366667509078979 confidence bounds at 95%: [ 0.64162725210189819 , 0.6657060980796814 ] support: 1 number of use :6000 number of events to predict :3586 number of events predicted: 3586 dataset range :99988.185138863177
OLD: confidence: 0.66033333539962769 confidence bounds at 95%: [ 0.64834970235824585 , 0.67231696844100952 ] support: 1 number of use :6000 number of events to predict :3599 number of events predicted: 3599 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="51" score="-3.2042081749897919" creationTime="3.5920000000000001" confidence = "0.65366667509078979" support = "1" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "3586" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.65366667509078979" basesupport = "1" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "3586" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "4.4977500000502921" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.66033333539962769" oldsupport = "1" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "3599" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "4.4977500000502921" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="122"/><i v="393"/><i v="637"/><i v="536"/><i v="583"/><i v="561"/><i v="542"/><i v="582"/><i v="536"/></values>
<bounds><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
57
similarId:
59
base
Show/Hide
confidence: 0.59666669368743896
confidence bounds at 95%: [ 0.58425366878509521 , 0.60907971858978271 ]
support: 0.93641942739486694
number of use :6000
number of events to predict :3586
number of events predicted: 3358
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :33.698684956439699
density v1 :1.0190751900928996e-247
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.318946820176974e-124
density ln. v2 :266.61105987040486
dist. expected v3 :19.683654656814095
density v3 :2.9378089456570163e-085
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :24.716521252203229
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :24.716521252202714
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.60183334350585938
confidence bounds at 95%: [ 0.5894467830657959 , 0.61421990394592285 ]
support: 0.92970269918441772
number of use :6000
number of events to predict :3599
number of events predicted: 3346
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :33.160626661914449
density v1 :6.6055055789699955e-240
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.3618911732555758e-116
density ln. v2 :260.56012299973747
dist. expected v3 :19.411795777834726
density v3 :5.9698185011208426e-083
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :24.337519227392622
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :24.337519227393155
cum. density train v5 :0
cum. density test v5 :0
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -3.44923306784536
creation time: 3.6200000000000001
#id:57
a
← r (temp) [ -3.5082499998155972 -0.0099999997764825821 ]
( 637 536 583 561 542 582 536 )
BASE: confidence: 0.59666669368743896 confidence bounds at 95%: [ 0.58425366878509521 , 0.60907971858978271 ] support: 0.93641942739486694 number of use :6000 number of events to predict :3586 number of events predicted: 3358 dataset range :99988.185138863177
OLD: confidence: 0.60183334350585938 confidence bounds at 95%: [ 0.5894467830657959 , 0.61421990394592285 ] support: 0.92970269918441772 number of use :6000 number of events to predict :3599 number of events predicted: 3346 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="57" score="-3.44923306784536" creationTime="3.6200000000000001" confidence = "0.59666669368743896" support = "0.93641942739486694" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "3358" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.59666669368743896" basesupport = "0.93641942739486694" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "3358" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.4982500000391146" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.60183334350585938" oldsupport = "0.92970269918441772" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "3346" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.4982500000391146" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="59" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="637"/><i v="536"/><i v="583"/><i v="561"/><i v="542"/><i v="582"/><i v="536"/></values>
<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
0
similarId:
42 ,
44
base
Show/Hide
confidence: 0.79866665601730347
confidence bounds at 95%: [ 0.78852003812789917 , 0.80881327390670776 ]
support: 1
number of use :6000
number of events to predict :3586
number of events predicted: 3586
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :59.352296156540831
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :397.12047221569043
dist. expected v3 :32.260935787003504
density v3 :3.9903887205855657e-227
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :40.509657322168017
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :40.509657322167172
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.80849999189376831
confidence bounds at 95%: [ 0.79854351282119751 , 0.81845647096633911 ]
support: 1
number of use :6000
number of events to predict :3599
number of events predicted: 3599
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :60.369134336229585
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :380.43377793990169
dist. expected v3 :32.691948663673749
density v3 :3.3255478261077154e-233
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :40.987497410805837
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :40.987497410806732
cum. density train v5 :0
cum. density test v5 :0
parentId:
-1 [Interactive]
creation: Trivial unit rule
number of condition: 1
score: -3.8944786623670264
creation time: 3.391
#id:0
a
← r (temp) [ -20 -0.0099999997764825821 ]
( 111 102 101 114 112 98 107 118 107 101 96 107 118 104 104 99 103 102 88 112 109 108 99 94 105 103 95 96 106 107 114 122 393 637 536 583 561 542 582 536 )
BASE: confidence: 0.79866665601730347 confidence bounds at 95%: [ 0.78852003812789917 , 0.80881327390670776 ] support: 1 number of use :6000 number of events to predict :3586 number of events predicted: 3586 dataset range :99988.185138863177
OLD: confidence: 0.80849999189376831 confidence bounds at 95%: [ 0.79854351282119751 , 0.81845647096633911 ] support: 1 number of use :6000 number of events to predict :3599 number of events predicted: 3599 dataset range :99936.387513848851
Trivial unit rule fires:0 )
Open picture
test
Show XML
<rule head="a" id="0" score="-3.8944786623670264" creationTime="3.391" confidence = "0.79866665601730347" support = "1" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "3586" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.79866665601730347" basesupport = "1" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "3586" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "19.990000000223517" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.80849999189376831" oldsupport = "1" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "3599" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "19.990000000223517" testexpConfidence = "-1" testexpSupport = "-1" parentId="-1" entropyGain="-1" type="0" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="42" />
<i v="44" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="111"/><i v="102"/><i v="101"/><i v="114"/><i v="112"/><i v="98"/><i v="107"/><i v="118"/><i v="107"/><i v="101"/><i v="96"/><i v="107"/><i v="118"/><i v="104"/><i v="104"/><i v="99"/><i v="103"/><i v="102"/><i v="88"/><i v="112"/><i v="109"/><i v="108"/><i v="99"/><i v="94"/><i v="105"/><i v="103"/><i v="95"/><i v="96"/><i v="106"/><i v="107"/><i v="114"/><i v="122"/><i v="393"/><i v="637"/><i v="536"/><i v="583"/><i v="561"/><i v="542"/><i v="582"/><i v="536"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
60
similarId: *none*
base
Show/Hide
confidence: 0.51349997520446777
confidence bounds at 95%: [ 0.50085282325744629 , 0.52614712715148926 ]
support: 0.8112102746963501
number of use :6000
number of events to predict :3586
number of events predicted: 2909
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :14.68622746053452
density v1 :5.8270298988185536e-048
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.3598428822373418e-042
density ln. v2 :3.8427137466364458
dist. expected v3 :7.7474271643015751
density v3 :3.6911532224409571e-014
cum. density train v3 :9.3258734068513149e-011
cum. density test v3 :4.6629367034256575e-015
dist. expected v4 :9.7283482917673805
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :9.7283482917671797
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.52350002527236938
confidence bounds at 95%: [ 0.51086223125457764 , 0.53613781929016113 ]
support: 0.81411504745483398
number of use :6000
number of events to predict :3599
number of events predicted: 2930
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :15.152161690914538
density v1 :5.5783847082763036e-051
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.741898829909295e-038
density ln. v2 :21.787660807231127
dist. expected v3 :8.2979084684084228
density v3 :4.4583577452004651e-016
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :10.403494308735226
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :10.403494308735453
cum. density train v5 :0
cum. density test v5 :0
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -4.1825891114220326
creation time: 3.6360000000000001
#id:60
a
← r (temp) [ -3.0084999998100099 -0.0099999997764825821 ]
( 536 583 561 542 582 536 )
BASE: confidence: 0.51349997520446777 confidence bounds at 95%: [ 0.50085282325744629 , 0.52614712715148926 ] support: 0.8112102746963501 number of use :6000 number of events to predict :3586 number of events predicted: 2909 dataset range :99988.185138863177
OLD: confidence: 0.52350002527236938 confidence bounds at 95%: [ 0.51086223125457764 , 0.53613781929016113 ] support: 0.81411504745483398 number of use :6000 number of events to predict :3599 number of events predicted: 2930 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="60" score="-4.1825891114220326" creationTime="3.6360000000000001" confidence = "0.51349997520446777" support = "0.8112102746963501" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "2909" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.51349997520446777" basesupport = "0.8112102746963501" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "2909" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.9985000000335273" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.52350002527236938" oldsupport = "0.81411504745483398" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "2930" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.9985000000335273" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="536"/><i v="583"/><i v="561"/><i v="542"/><i v="582"/><i v="536"/></values>
<bounds><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
58
similarId: *none*
base
Show/Hide
confidence: 0.36300000548362732
confidence bounds at 95%: [ 0.35083243250846863 , 0.37516757845878601 ]
support: 0.57919687032699585
number of use :6000
number of events to predict :3586
number of events predicted: 2077
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.1173274636843206e-121
density ln. v2 :-148.67118859994724
dist. expected v3 :-14.22330995085766
density v3 :4.6932141729071604e-045
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-17.860034064118626
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-17.860034064118256
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.37400001287460327
confidence bounds at 95%: [ 0.36175656318664551 , 0.38624346256256104 ]
support: 0.59599888324737549
number of use :6000
number of events to predict :3599
number of events predicted: 2145
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :3.8027596362506392e-109
density ln. v2 :-152.36619490318597
dist. expected v3 :-12.743247983622673
density v3 :2.1791616280172138e-036
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-15.976834207939687
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-15.976834207940037
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -5.8382821835506835
creation time: 3.6280000000000001
#id:58
a
← r (temp) [ -3.5082499998155972 -1.509249999793248 ]
( 637 536 583 561 )
BASE: confidence: 0.36300000548362732 confidence bounds at 95%: [ 0.35083243250846863 , 0.37516757845878601 ] support: 0.57919687032699585 number of use :6000 number of events to predict :3586 number of events predicted: 2077 dataset range :99988.185138863177
OLD: confidence: 0.37400001287460327 confidence bounds at 95%: [ 0.36175656318664551 , 0.38624346256256104 ] support: 0.59599888324737549 number of use :6000 number of events to predict :3599 number of events predicted: 2145 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="58" score="-5.8382821835506835" creationTime="3.6280000000000001" confidence = "0.36300000548362732" support = "0.57919687032699585" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "2077" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.36300000548362732" basesupport = "0.57919687032699585" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "2077" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223491" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.37400001287460327" oldsupport = "0.59599888324737549" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "2145" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223491" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="637"/><i v="536"/><i v="583"/><i v="561"/></values>
<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
61
similarId: *none*
base
Show/Hide
confidence: 0.35249999165534973
confidence bounds at 95%: [ 0.34041127562522888 , 0.36458870768547058 ]
support: 0.56441718339920044
number of use :6000
number of events to predict :3586
number of events predicted: 2024
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :6.3910127291002217e-138
density ln. v2 :-153.55914811866714
dist. expected v3 :-15.660118775970806
density v3 :2.2277596733713325e-054
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-19.664217102300942
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-19.664217102300533
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.35033333301544189
confidence bounds at 95%: [ 0.33826169371604919 , 0.36240497231483459 ]
support: 0.55848848819732666
number of use :6000
number of events to predict :3599
number of events predicted: 2010
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :2.267253267164684e-143
density ln. v2 :-150.92507998925262
dist. expected v3 :-16.277993255565569
density v3 :1.1554208458754145e-058
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-20.408517500119945
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-20.408517500120393
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -6.0073891438473161
creation time: 3.6440000000000001
#id:61
a
← r (temp) [ -2.008999999798835 -0.0099999997764825821 ]
( 561 542 582 536 )
BASE: confidence: 0.35249999165534973 confidence bounds at 95%: [ 0.34041127562522888 , 0.36458870768547058 ] support: 0.56441718339920044 number of use :6000 number of events to predict :3586 number of events predicted: 2024 dataset range :99988.185138863177
OLD: confidence: 0.35033333301544189 confidence bounds at 95%: [ 0.33826169371604919 , 0.36240497231483459 ] support: 0.55848848819732666 number of use :6000 number of events to predict :3599 number of events predicted: 2010 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="61" score="-6.0073891438473161" creationTime="3.6440000000000001" confidence = "0.35249999165534973" support = "0.56441718339920044" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "2024" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.35249999165534973" basesupport = "0.56441718339920044" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "2024" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223525" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.35033333301544189" oldsupport = "0.55848848819732666" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "2010" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223525" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="561"/><i v="542"/><i v="582"/><i v="536"/></values>
<bounds><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
427
similarId:
474 ,
478 ,
481
base
Show/Hide
confidence: 0.74332910776138306
confidence bounds at 95%: [ 0.71281170845031738 , 0.77384650707244873 ]
support: 0.18572224676609039
number of use :787
number of events to predict :3586
number of events predicted: 666
dataset range :99988.185138863177
rule range :4.4977500000502921
exp. confidence :0.1489734918855965
exp. support :0.03478294105612556
std. error exp. confidence :0.012692251716012746
std. error exp. support :0.003059782118249229
dist. expected v1 :68.01720162474102
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-1106.8188672459646
dist. expected v3 :47.166394852921137
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :46.94405372678608
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :46.944053726786187
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.76941746473312378
confidence bounds at 95%: [ 0.74065762758255005 , 0.79817730188369751 ]
support: 0.20922479033470154
number of use :824
number of events to predict :3599
number of events predicted: 753
dataset range :99936.387513848851
rule range :4.4977500000502921
exp. confidence :0.14954238623096183
exp. support :0.036406626687261134
std. error exp. confidence :0.012423526311352722
std. error exp. support :0.0031220956148405505
dist. expected v1 :74.521944093528887
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-1215.9481535428411
dist. expected v3 :50.43628494587643
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :50.181003072352347
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :50.181003072352375
cum. density train v5 :0
cum. density test v5 :0
parentId:
416 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -6.0085805195824316
creation time: 5.0839999999999996
#id:427
a
← r (temp) [ -4.0079999998211857 -0.0099999997764825821 ]
( 48 97 89 120 110 106 103 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
BASE: confidence: 0.74332910776138306 confidence bounds at 95%: [ 0.71281170845031738 , 0.77384650707244873 ] support: 0.18572224676609039 number of use :787 number of events to predict :3586 number of events predicted: 666 dataset range :99988.185138863177
OLD: confidence: 0.76941746473312378 confidence bounds at 95%: [ 0.74065762758255005 , 0.79817730188369751 ] support: 0.20922479033470154 number of use :824 number of events to predict :3599 number of events predicted: 753 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="427" score="-6.0085805195824316" creationTime="5.0839999999999996" confidence = "0.74332910776138306" support = "0.18572224676609039" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "666" datasetrange = "99988.185138863177" rulerange = "4.4977500000502921" expConfidence = "0.1489734918855965" expSupport = "0.03478294105612556" baseconfidence = "0.74332910776138306" basesupport = "0.18572224676609039" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "666" basedatasetrange = "99988.185138863177" baserulerange = "4.4977500000502921" baseexpConfidence = "0.1489734918855965" baseexpSupport = "0.03478294105612556" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.9980000000447031" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.76941746473312378" oldsupport = "0.20922479033470154" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "753" olddatasetrange = "99936.387513848851" oldrulerange = "4.4977500000502921" oldexpConfidence = "0.14954238623096183" oldexpSupport = "0.036406626687261134" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.9980000000447031" testexpConfidence = "-1" testexpSupport = "-1" parentId="416" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="474" />
<i v="478" />
<i v="481" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
416
similarId:
422 ,
423
base
Show/Hide
confidence: 0.75222361087799072
confidence bounds at 95%: [ 0.72206079959869385 , 0.7823864221572876 ]
support: 0.18795314431190491
number of use :787
number of events to predict :3586
number of events predicted: 674
dataset range :99988.185138863177
rule range :4.4977500000502921
exp. confidence :0.1489734918855965
exp. support :0.03478294105612556
std. error exp. confidence :0.012692251716012746
std. error exp. support :0.003059782118249229
dist. expected v1 :69.028462479107191
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-1177.5901731694387
dist. expected v3 :47.87177738824014
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :47.646111107665192
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :47.646111107665305
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.77184468507766724
confidence bounds at 95%: [ 0.74319154024124146 , 0.80049782991409302 ]
support: 0.21005834639072418
number of use :824
number of events to predict :3599
number of events predicted: 756
dataset range :99936.387513848851
rule range :4.4977500000502921
exp. confidence :0.14954238623096183
exp. support :0.036406626687261134
std. error exp. confidence :0.012423526311352722
std. error exp. support :0.0031220956148405505
dist. expected v1 :74.851072570974424
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-1235.0835211642418
dist. expected v3 :50.636523072629558
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :50.380227699316514
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :50.380227699316542
cum. density train v5 :0
cum. density test v5 :0
parentId:
51 [Interactive]
creation: Add condition [ gain:0.003294978847228847 impList:1 first:1 loop:14 ]
number of condition: 2
score: -6.0549037850361787
creation time: 5.0549999999999997
#id:416
a
← r (temp) [ -4.5077499998267747 -0.0099999997764825821 ]
( 19 48 97 89 120 110 106 103 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
BASE: confidence: 0.75222361087799072 confidence bounds at 95%: [ 0.72206079959869385 , 0.7823864221572876 ] support: 0.18795314431190491 number of use :787 number of events to predict :3586 number of events predicted: 674 dataset range :99988.185138863177
OLD: confidence: 0.77184468507766724 confidence bounds at 95%: [ 0.74319154024124146 , 0.80049782991409302 ] support: 0.21005834639072418 number of use :824 number of events to predict :3599 number of events predicted: 756 dataset range :99936.387513848851
Add condition [ gain:0.003294978847228847 impList:1 first:1 loop:14 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="416" score="-6.0549037850361787" creationTime="5.0549999999999997" confidence = "0.75222361087799072" support = "0.18795314431190491" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "674" datasetrange = "99988.185138863177" rulerange = "4.4977500000502921" expConfidence = "0.1489734918855965" expSupport = "0.03478294105612556" baseconfidence = "0.75222361087799072" basesupport = "0.18795314431190491" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "674" basedatasetrange = "99988.185138863177" baserulerange = "4.4977500000502921" baseexpConfidence = "0.1489734918855965" baseexpSupport = "0.03478294105612556" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "4.4977500000502921" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.77184468507766724" oldsupport = "0.21005834639072418" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "756" olddatasetrange = "99936.387513848851" oldrulerange = "4.4977500000502921" oldexpConfidence = "0.14954238623096183" oldexpSupport = "0.036406626687261134" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "4.4977500000502921" testexpConfidence = "-1" testexpSupport = "-1" parentId="51" entropyGain="0.003294978847228847" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="14" threathold="-1" >
<similarId>
<i v="422" />
<i v="423" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
39
similarId: *none*
base
Show/Hide
confidence: 0.52416664361953735
confidence bounds at 95%: [ 0.51152968406677246 , 0.53680360317230225 ]
support: 0.71221417188644409
number of use :6000
number of events to predict :3586
number of events predicted: 2554
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :2.6059694720083852
density v1 :0.013373542317799605
cum. density train v1 :1
cum. density test v1 :0.0045807663205411631
density v2 :507.73255002852017
density ln. v2 :0.20884730608597774
dist. expected v3 :1.4269606216984261
density v3 :0.14412895761863623
cum. density train v3 :1
cum. density test v3 :0.076795671463561033
dist. expected v4 :1.7918167711836313
cum. density train v4 :1
cum. density test v4 :0.036581109943244594
dist. expected v5 :1.7918167711835939
cum. density train v5 :1
cum. density test v5 :0.036581109943247592
old
Show/Hide
confidence: 0.52916663885116577
confidence bounds at 95%: [ 0.5165364146232605 , 0.54179686307907104 ]
support: 0.71297580003738403
number of use :6000
number of events to predict :3599
number of events predicted: 2566
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :3.0805746544383412
density v1 :0.003468931581608172
cum. density train v1 :0.99999999894761404
cum. density test v1 :0.0010330763052155412
density v2 :146.94518003335867
density ln. v2 :-0.69975981930537712
dist. expected v3 :1.6162133084835568
density v3 :0.10806620153623274
cum. density train v3 :1
cum. density test v3 :0.053024095858454467
dist. expected v4 :2.0263257928821026
cum. density train v4 :1
cum. density test v4 :0.021365636690829692
dist. expected v5 :2.026325792882147
cum. density train v5 :1
cum. density test v5 :0.021365636690827361
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -6.0952487910777169
creation time: 3.5249999999999999
#id:39
a
← r (temp) [ -20 -3.0084999998100099 ]
( 111 102 101 114 112 98 107 118 107 101 96 107 118 104 104 99 103 102 88 112 109 108 99 94 105 103 95 96 106 107 114 122 393 637 )
BASE: confidence: 0.52416664361953735 confidence bounds at 95%: [ 0.51152968406677246 , 0.53680360317230225 ] support: 0.71221417188644409 number of use :6000 number of events to predict :3586 number of events predicted: 2554 dataset range :99988.185138863177
OLD: confidence: 0.52916663885116577 confidence bounds at 95%: [ 0.5165364146232605 , 0.54179686307907104 ] support: 0.71297580003738403 number of use :6000 number of events to predict :3599 number of events predicted: 2566 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="39" score="-6.0952487910777169" creationTime="3.5249999999999999" confidence = "0.52416664361953735" support = "0.71221417188644409" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "2554" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.52416664361953735" basesupport = "0.71221417188644409" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "2554" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "16.991500000189991" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.52916663885116577" oldsupport = "0.71297580003738403" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "2566" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "16.991500000189991" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
379
similarId:
383 ,
387
base
Show/Hide
confidence: 0.70902162790298462
confidence bounds at 95%: [ 0.67728734016418457 , 0.74075591564178467 ]
support: 0.17735639214515686
number of use :787
number of events to predict :3586
number of events predicted: 636
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :75.535575675106244
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-1136.074691370681
dist. expected v3 :51.79124266309401
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :51.604828182151408
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :51.604828182150982
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.72815531492233276
confidence bounds at 95%: [ 0.6977769136428833 , 0.75853371620178223 ]
support: 0.19699916243553162
number of use :824
number of events to predict :3599
number of events predicted: 709
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :81.473681545786704
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-1190.2898622731509
dist. expected v3 :54.744026627536513
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :54.532391709346442
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :54.532391709347216
cum. density train v5 :0
cum. density test v5 :0
parentId:
57 [Interactive]
creation: Add condition [ gain:0.0040002027817249708 impList:1 first:1 loop:11 ]
number of condition: 2
score: -6.1562428601732408
creation time: 4.9210000000000003
#id:379
a
← r (temp) [ -3.5082499998155972 -0.0099999997764825821 ]
( 97 89 120 110 106 103 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.70902162790298462 confidence bounds at 95%: [ 0.67728734016418457 , 0.74075591564178467 ] support: 0.17735639214515686 number of use :787 number of events to predict :3586 number of events predicted: 636 dataset range :99988.185138863177
OLD: confidence: 0.72815531492233276 confidence bounds at 95%: [ 0.6977769136428833 , 0.75853371620178223 ] support: 0.19699916243553162 number of use :824 number of events to predict :3599 number of events predicted: 709 dataset range :99936.387513848851
Add condition [ gain:0.0040002027817249708 impList:1 first:1 loop:11 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="379" score="-6.1562428601732408" creationTime="4.9210000000000003" confidence = "0.70902162790298462" support = "0.17735639214515686" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "636" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.70902162790298462" basesupport = "0.17735639214515686" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "636" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.4982500000391146" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.72815531492233276" oldsupport = "0.19699916243553162" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "709" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.4982500000391146" testexpConfidence = "-1" testexpSupport = "-1" parentId="57" entropyGain="0.0040002027817249708" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="11" threathold="-1" >
<similarId>
<i v="383" />
<i v="387" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="125"/><i v="124"/><i v="105"/><i v="104"/><i v="136"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
431
similarId:
433
base
Show/Hide
confidence: 0.70902162790298462
confidence bounds at 95%: [ 0.67728734016418457 , 0.74075591564178467 ]
support: 0.17735639214515686
number of use :787
number of events to predict :3586
number of events predicted: 636
dataset range :99988.185138863177
rule range :4.4977500000502921
exp. confidence :0.1489734918855965
exp. support :0.03478294105612556
std. error exp. confidence :0.012692251716012746
std. error exp. support :0.003059782118249229
dist. expected v1 :64.173325138673604
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-864.88732632531026
dist. expected v3 :44.449568620756779
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :44.240034540949019
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :44.240034540949118
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.72815531492233276
confidence bounds at 95%: [ 0.6977769136428833 , 0.75853371620178223 ]
support: 0.19699916243553162
number of use :824
number of events to predict :3599
number of events predicted: 709
dataset range :99936.387513848851
rule range :4.4977500000502921
exp. confidence :0.14954238623096183
exp. support :0.036406626687261134
std. error exp. confidence :0.012423526311352722
std. error exp. support :0.0031220956148405505
dist. expected v1 :69.389786765254627
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-907.88061226663365
dist. expected v3 :47.066338269220026
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :46.828113288411501
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :46.828113288411522
cum. density train v5 :0
cum. density test v5 :0
parentId:
416 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -6.1562428601732408
creation time: 5.0919999999999996
#id:431
a
← r (temp) [ -3.5082499998155972 -0.0099999997764825821 ]
( 97 89 120 110 106 103 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
BASE: confidence: 0.70902162790298462 confidence bounds at 95%: [ 0.67728734016418457 , 0.74075591564178467 ] support: 0.17735639214515686 number of use :787 number of events to predict :3586 number of events predicted: 636 dataset range :99988.185138863177
OLD: confidence: 0.72815531492233276 confidence bounds at 95%: [ 0.6977769136428833 , 0.75853371620178223 ] support: 0.19699916243553162 number of use :824 number of events to predict :3599 number of events predicted: 709 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="431" score="-6.1562428601732408" creationTime="5.0919999999999996" confidence = "0.70902162790298462" support = "0.17735639214515686" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "636" datasetrange = "99988.185138863177" rulerange = "4.4977500000502921" expConfidence = "0.1489734918855965" expSupport = "0.03478294105612556" baseconfidence = "0.70902162790298462" basesupport = "0.17735639214515686" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "636" basedatasetrange = "99988.185138863177" baserulerange = "4.4977500000502921" baseexpConfidence = "0.1489734918855965" baseexpSupport = "0.03478294105612556" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.4982500000391146" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.72815531492233276" oldsupport = "0.19699916243553162" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "709" olddatasetrange = "99936.387513848851" oldrulerange = "4.4977500000502921" oldexpConfidence = "0.14954238623096183" oldexpSupport = "0.036406626687261134" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.4982500000391146" testexpConfidence = "-1" testexpSupport = "-1" parentId="416" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="433" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="97"/><i v="89"/><i v="120"/><i v="110"/><i v="106"/><i v="103"/><i v="118"/></values>
<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
511
similarId:
517 ,
520 ,
522 ,
524
base
Show/Hide
confidence: 0.86839574575424194
confidence bounds at 95%: [ 0.84785932302474976 , 0.88893216848373413 ]
support: 0.27802565693855286
number of use :1041
number of events to predict :3586
number of events predicted: 997
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :26.845549272507618
density v1 :1.2778298323235145e-157
cum. density train v1 :0
cum. density test v1 :0
density v2 :8.9190685780600715e-255
density ln. v2 :-589.02682297454794
dist. expected v3 :22.786548443573967
density v3 :7.116151662372252e-114
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :21.867809478924084
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :21.867809478924201
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.84842520952224731
confidence bounds at 95%: [ 0.82637417316436768 , 0.87047624588012695 ]
support: 0.26813003420829773
number of use :1016
number of events to predict :3599
number of events predicted: 965
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :25.038857611123191
density v1 :2.8951125045023193e-137
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.4168139575269386e-206
density ln. v2 :-479.28634537286626
dist. expected v3 :21.202088426676099
density v3 :9.7056563741459478e-099
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :20.370834040269742
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :20.370834040269628
cum. density train v5 :0
cum. density test v5 :0
parentId:
0 [Interactive]
creation: Add condition [ gain:0.0029695480012136839 impList:1 first:1 loop:19 ]
number of condition: 2
score: -6.1890616849614783
creation time: 5.3680000000000003
#id:511
a
← r (temp) [ -20 -0.0099999997764825821 ]
( 22 17 21 18 26 16 23 31 23 21 22 29 21 29 25 23 28 13 17 30 29 23 33 17 19 31 24 24 34 29 28 34 76 116 93 105 112 102 103 88 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.86839574575424194 confidence bounds at 95%: [ 0.84785932302474976 , 0.88893216848373413 ] support: 0.27802565693855286 number of use :1041 number of events to predict :3586 number of events predicted: 997 dataset range :99988.185138863177
OLD: confidence: 0.84842520952224731 confidence bounds at 95%: [ 0.82637417316436768 , 0.87047624588012695 ] support: 0.26813003420829773 number of use :1016 number of events to predict :3599 number of events predicted: 965 dataset range :99936.387513848851
Add condition [ gain:0.0029695480012136839 impList:1 first:1 loop:19 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="511" score="-6.1890616849614783" creationTime="5.3680000000000003" confidence = "0.86839574575424194" support = "0.27802565693855286" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "997" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.86839574575424194" basesupport = "0.27802565693855286" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "997" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "19.990000000223517" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.84842520952224731" oldsupport = "0.26813003420829773" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "965" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "19.990000000223517" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="0.0029695480012136839" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="19" threathold="-1" >
<similarId>
<i v="517" />
<i v="520" />
<i v="522" />
<i v="524" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="22"/><i v="17"/><i v="21"/><i v="18"/><i v="26"/><i v="16"/><i v="23"/><i v="31"/><i v="23"/><i v="21"/><i v="22"/><i v="29"/><i v="21"/><i v="29"/><i v="25"/><i v="23"/><i v="28"/><i v="13"/><i v="17"/><i v="30"/><i v="29"/><i v="23"/><i v="33"/><i v="17"/><i v="19"/><i v="31"/><i v="24"/><i v="24"/><i v="34"/><i v="29"/><i v="28"/><i v="34"/><i v="76"/><i v="116"/><i v="93"/><i v="105"/><i v="112"/><i v="102"/><i v="103"/><i v="88"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="53"/><i v="53"/><i v="50"/><i v="45"/><i v="52"/><i v="45"/><i v="56"/><i v="57"/><i v="43"/><i v="50"/><i v="48"/><i v="47"/><i v="45"/><i v="39"/><i v="51"/><i v="47"/><i v="55"/><i v="47"/><i v="44"/><i v="48"/></values>
<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
54
similarId: *none*
base
Show/Hide
confidence: 0.33633333444595337
confidence bounds at 95%: [ 0.32437857985496521 , 0.34828808903694153 ]
support: 0.53206914663314819
number of use :6000
number of events to predict :3586
number of events predicted: 1908
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.9229445031874241e-162
density ln. v2 :-126.59528731832189
dist. expected v3 :-18.526906854126413
density v3 :1.1639328406523318e-075
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-23.264007369641689
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-23.264007369641206
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.34766668081283569
confidence bounds at 95%: [ 0.33561640977859497 , 0.35971695184707642 ]
support: 0.55737704038619995
number of use :6000
number of events to predict :3599
number of events predicted: 2006
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.0300182033340367e-148
density ln. v2 :-160.86901643060733
dist. expected v3 :-16.463321664038133
density v3 :5.5604939244211537e-060
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-20.640872803884953
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-20.640872803885404
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -6.3132210530270028
creation time: 3.6070000000000002
#id:54
a
← r (temp) [ -4.0079999998211857 -2.008999999798835 ]
( 393 637 536 583 )
BASE: confidence: 0.33633333444595337 confidence bounds at 95%: [ 0.32437857985496521 , 0.34828808903694153 ] support: 0.53206914663314819 number of use :6000 number of events to predict :3586 number of events predicted: 1908 dataset range :99988.185138863177
OLD: confidence: 0.34766668081283569 confidence bounds at 95%: [ 0.33561640977859497 , 0.35971695184707642 ] support: 0.55737704038619995 number of use :6000 number of events to predict :3599 number of events predicted: 2006 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="54" score="-6.3132210530270028" creationTime="3.6070000000000002" confidence = "0.33633333444595337" support = "0.53206914663314819" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "1908" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.33633333444595337" basesupport = "0.53206914663314819" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "1908" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223507" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.34766668081283569" oldsupport = "0.55737704038619995" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "2006" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223507" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="393"/><i v="637"/><i v="536"/><i v="583"/></values>
<bounds><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
1
similarId:
6 ,
11 ,
15 ,
20
base
Show/Hide
confidence: 0.78100001811981201
confidence bounds at 95%: [ 0.7553667426109314 , 0.80663329362869263 ]
support: 0.30395984649658203
number of use :1000
number of events to predict :3586
number of events predicted: 1090
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :25.576084777158776
density v1 :3.606268209672373e-143
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.8164890348869933e-069
density ln. v2 :-109.32643655845933
dist. expected v3 :17.811613541593147
density v3 :5.1306353368137105e-070
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :17.127330056581417
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :17.127330056581506
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.77600002288818359
confidence bounds at 95%: [ 0.75015890598297119 , 0.801841139793396 ]
support: 0.30369547009468079
number of use :1000
number of events to predict :3599
number of events predicted: 1093
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :25.289458575630903
density v1 :5.2836490220941142e-140
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.5629993802144111e-064
density ln. v2 :-94.297749291017141
dist. expected v3 :17.430449986676379
density v3 :4.2374824384656899e-067
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :16.760145340911297
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :16.760145340911205
cum. density train v5 :0
cum. density test v5 :0
parentId:
-1 [Interactive]
creation: Trivial unit rule
number of condition: 1
score: -6.3656719163610145
creation time: 3.391
#id:1
a
← j (temp) [ -20 -0.0099999997764825821 ]
( 29 40 23 34 41 30 28 28 32 32 27 41 37 35 33 28 36 33 31 30 31 41 41 34 48 29 31 37 26 19 35 38 23 35 27 28 27 29 29 16 )
BASE: confidence: 0.78100001811981201 confidence bounds at 95%: [ 0.7553667426109314 , 0.80663329362869263 ] support: 0.30395984649658203 number of use :1000 number of events to predict :3586 number of events predicted: 1090 dataset range :99988.185138863177
OLD: confidence: 0.77600002288818359 confidence bounds at 95%: [ 0.75015890598297119 , 0.801841139793396 ] support: 0.30369547009468079 number of use :1000 number of events to predict :3599 number of events predicted: 1093 dataset range :99936.387513848851
Trivial unit rule fires:0 )
Open picture
test
Show XML
<rule head="a" id="1" score="-6.3656719163610145" creationTime="3.391" confidence = "0.78100001811981201" support = "0.30395984649658203" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "1090" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.78100001811981201" basesupport = "0.30395984649658203" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "1090" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "19.990000000223517" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.77600002288818359" oldsupport = "0.30369547009468079" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "1093" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "19.990000000223517" testexpConfidence = "-1" testexpSupport = "-1" parentId="-1" entropyGain="-1" type="0" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="6" />
<i v="11" />
<i v="15" />
<i v="20" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="29"/><i v="40"/><i v="23"/><i v="34"/><i v="41"/><i v="30"/><i v="28"/><i v="28"/><i v="32"/><i v="32"/><i v="27"/><i v="41"/><i v="37"/><i v="35"/><i v="33"/><i v="28"/><i v="36"/><i v="33"/><i v="31"/><i v="30"/><i v="31"/><i v="41"/><i v="41"/><i v="34"/><i v="48"/><i v="29"/><i v="31"/><i v="37"/><i v="26"/><i v="19"/><i v="35"/><i v="38"/><i v="23"/><i v="35"/><i v="27"/><i v="28"/><i v="27"/><i v="29"/><i v="29"/><i v="16"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
723
similarId: *none*
base
Show/Hide
confidence: 0.75040000677108765
confidence bounds at 95%: [ 0.71646994352340698 , 0.78433007001876831 ]
support: 0.15170106291770935
number of use :625
number of events to predict :3586
number of events predicted: 544
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :13.525872302278126
density v1 :7.4815464164367424e-041
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.9073809944473964e-058
density ln. v2 :-140.18673012296892
dist. expected v3 :11.871848396565307
density v3 :9.908492989387403e-032
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :11.637373281553771
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :11.637373281553803
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.77200579643249512
confidence bounds at 95%: [ 0.74076932668685913 , 0.8032422661781311 ]
support: 0.18088357150554657
number of use :693
number of events to predict :3599
number of events predicted: 651
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :16.438624503244998
density v1 :8.347643363357719e-060
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.9134581114636222e-069
density ln. v2 :-162.84419606816593
dist. expected v3 :13.644780036896091
density v3 :1.4874141640200025e-041
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :13.328622707883808
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :13.328622707883762
cum. density train v5 :0
cum. density test v5 :0
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -6.3753913182274511
creation time: 6.056
#id:723
a
← r (temp) [ -4.0079999998211857 -0.0099999997764825821 ]
( 39 79 76 111 86 86 78 91 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.75040000677108765 confidence bounds at 95%: [ 0.71646994352340698 , 0.78433007001876831 ] support: 0.15170106291770935 number of use :625 number of events to predict :3586 number of events predicted: 544 dataset range :99988.185138863177
OLD: confidence: 0.77200579643249512 confidence bounds at 95%: [ 0.74076932668685913 , 0.8032422661781311 ] support: 0.18088357150554657 number of use :693 number of events to predict :3599 number of events predicted: 651 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="723" score="-6.3753913182274511" creationTime="6.056" confidence = "0.75040000677108765" support = "0.15170106291770935" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "544" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.75040000677108765" basesupport = "0.15170106291770935" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "544" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.9980000000447031" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.77200579643249512" oldsupport = "0.18088357150554657" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "651" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.9980000000447031" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
10
similarId:
14
base
Show/Hide
confidence: 0.76899999380111694
confidence bounds at 95%: [ 0.74287688732147217 , 0.79512310028076172 ]
support: 0.2964305579662323
number of use :1000
number of events to predict :3586
number of events predicted: 1063
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :24.198265373438677
density v1 :2.8120952001958814e-128
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.1484750573652185e-063
density ln. v2 :-98.676306965643946
dist. expected v3 :16.983984900312155
density v3 :9.1947794453279027e-064
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :16.331497109139658
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :16.331497109139747
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.76899999380111694
confidence bounds at 95%: [ 0.74287688732147217 , 0.79512310028076172 ]
support: 0.29563766717910767
number of use :1000
number of events to predict :3599
number of events predicted: 1064
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :24.0578414881934
density v1 :8.3269708078008934e-127
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.5202694838954295e-062
density ln. v2 :-97.811800886416378
dist. expected v3 :16.887817108774705
density v3 :4.6867481122395035e-063
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :16.238379929958572
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :16.238379929958484
cum. density train v5 :0
cum. density test v5 :0
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -6.426480653681228
creation time: 3.4769999999999999
#id:10
a
← j (temp) [ -20 -1.009499999787657 ]
( 29 40 23 34 41 30 28 28 32 32 27 41 37 35 33 28 36 33 31 30 31 41 41 34 48 29 31 37 26 19 35 38 23 35 27 28 27 29 )
BASE: confidence: 0.76899999380111694 confidence bounds at 95%: [ 0.74287688732147217 , 0.79512310028076172 ] support: 0.2964305579662323 number of use :1000 number of events to predict :3586 number of events predicted: 1063 dataset range :99988.185138863177
OLD: confidence: 0.76899999380111694 confidence bounds at 95%: [ 0.74287688732147217 , 0.79512310028076172 ] support: 0.29563766717910767 number of use :1000 number of events to predict :3599 number of events predicted: 1064 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="10" score="-6.426480653681228" creationTime="3.4769999999999999" confidence = "0.76899999380111694" support = "0.2964305579662323" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "1063" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.76899999380111694" basesupport = "0.2964305579662323" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "1063" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.990500000212343" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.76899999380111694" oldsupport = "0.29563766717910767" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "1064" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.990500000212343" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="14" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="29"/><i v="40"/><i v="23"/><i v="34"/><i v="41"/><i v="30"/><i v="28"/><i v="28"/><i v="32"/><i v="32"/><i v="27"/><i v="41"/><i v="37"/><i v="35"/><i v="33"/><i v="28"/><i v="36"/><i v="33"/><i v="31"/><i v="30"/><i v="31"/><i v="41"/><i v="41"/><i v="34"/><i v="48"/><i v="29"/><i v="31"/><i v="37"/><i v="26"/><i v="19"/><i v="35"/><i v="38"/><i v="23"/><i v="35"/><i v="27"/><i v="28"/><i v="27"/><i v="29"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
5
similarId: *none*
base
Show/Hide
confidence: 0.75800001621246338
confidence bounds at 95%: [ 0.73145407438278198 , 0.78454595804214478 ]
support: 0.28555494546890259
number of use :1000
number of events to predict :3586
number of events predicted: 1024
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :22.487550709927714
density v1 :6.1906390678672169e-111
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.9717292657396201e-059
density ln. v2 :-99.779568375279311
dist. expected v3 :16.160282209139218
density v3 :7.7961991068776388e-058
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :15.539439285334472
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :15.539439285334556
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.75499999523162842
confidence bounds at 95%: [ 0.72834289073944092 , 0.78165709972381592 ]
support: 0.28591275215148926
number of use :1000
number of events to predict :3599
number of events predicted: 1029
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :22.344466082804043
density v1 :1.5299795057135392e-109
cum. density train v1 :0
cum. density test v1 :0
density v2 :9.0530235436287533e-056
density ln. v2 :-89.491168188633978
dist. expected v3 :15.906846712011294
density v3 :4.5355235106269116e-056
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :15.295133689187193
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :15.295133689187109
cum. density train v5 :0
cum. density test v5 :0
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -6.5048008320844133
creation time: 3.464
#id:5
a
← j (temp) [ -20 -2.008999999798835 ]
( 29 40 23 34 41 30 28 28 32 32 27 41 37 35 33 28 36 33 31 30 31 41 41 34 48 29 31 37 26 19 35 38 23 35 27 28 )
BASE: confidence: 0.75800001621246338 confidence bounds at 95%: [ 0.73145407438278198 , 0.78454595804214478 ] support: 0.28555494546890259 number of use :1000 number of events to predict :3586 number of events predicted: 1024 dataset range :99988.185138863177
OLD: confidence: 0.75499999523162842 confidence bounds at 95%: [ 0.72834289073944092 , 0.78165709972381592 ] support: 0.28591275215148926 number of use :1000 number of events to predict :3599 number of events predicted: 1029 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="5" score="-6.5048008320844133" creationTime="3.464" confidence = "0.75800001621246338" support = "0.28555494546890259" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "1024" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.75800001621246338" basesupport = "0.28555494546890259" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "1024" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "17.991000000201165" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.75499999523162842" oldsupport = "0.28591275215148926" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "1029" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "17.991000000201165" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="29"/><i v="40"/><i v="23"/><i v="34"/><i v="41"/><i v="30"/><i v="28"/><i v="28"/><i v="32"/><i v="32"/><i v="27"/><i v="41"/><i v="37"/><i v="35"/><i v="33"/><i v="28"/><i v="36"/><i v="33"/><i v="31"/><i v="30"/><i v="31"/><i v="41"/><i v="41"/><i v="34"/><i v="48"/><i v="29"/><i v="31"/><i v="37"/><i v="26"/><i v="19"/><i v="35"/><i v="38"/><i v="23"/><i v="35"/><i v="27"/><i v="28"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
726
similarId: *none*
base
Show/Hide
confidence: 0.71679997444152832
confidence bounds at 95%: [ 0.6814766526222229 , 0.75212329626083374 ]
support: 0.14472950994968414
number of use :625
number of events to predict :3586
number of events predicted: 519
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :11.438368950815887
density v1 :1.5494298679361454e-029
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.2585271885431833e-041
density ln. v2 :-100.41892817668544
dist. expected v3 :10.181943495204328
density v3 :1.226950638982585e-023
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :9.9808448716092251
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :9.9808448716092535
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.73448771238327026
confidence bounds at 95%: [ 0.70160830020904541 , 0.76736712455749512 ]
support: 0.170602947473526
number of use :693
number of events to predict :3599
number of events predicted: 614
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :13.779473781313417
density v1 :2.3459408284375336e-042
cum. density train v1 :0
cum. density test v1 :0
density v2 :7.9950430958117583e-048
density ln. v2 :-114.00974992802522
dist. expected v3 :11.638880701659575
density v3 :1.5324109245806043e-030
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :11.369201203318143
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :11.369201203318102
cum. density train v5 :0
cum. density test v5 :0
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -6.5191888936510241
creation time: 6.0679999999999996
#id:726
a
← r (temp) [ -3.5082499998155972 -0.0099999997764825821 ]
( 79 76 111 86 86 78 91 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.71679997444152832 confidence bounds at 95%: [ 0.6814766526222229 , 0.75212329626083374 ] support: 0.14472950994968414 number of use :625 number of events to predict :3586 number of events predicted: 519 dataset range :99988.185138863177
OLD: confidence: 0.73448771238327026 confidence bounds at 95%: [ 0.70160830020904541 , 0.76736712455749512 ] support: 0.170602947473526 number of use :693 number of events to predict :3599 number of events predicted: 614 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="726" score="-6.5191888936510241" creationTime="6.0679999999999996" confidence = "0.71679997444152832" support = "0.14472950994968414" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "519" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.71679997444152832" basesupport = "0.14472950994968414" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "519" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.4982500000391146" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.73448771238327026" oldsupport = "0.170602947473526" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "614" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.4982500000391146" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="79"/><i v="76"/><i v="111"/><i v="86"/><i v="86"/><i v="78"/><i v="91"/></values>
<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="157"/><i v="127"/><i v="128"/><i v="158"/></values>
<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
4
similarId: *none*
base
Show/Hide
confidence: 0.75300002098083496
confidence bounds at 95%: [ 0.72626984119415283 , 0.77973020076751709 ]
support: 0.28137201070785522
number of use :1000
number of events to predict :3586
number of events predicted: 1009
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :21.800567347930606
density v1 :2.503132111569521e-104
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.7379840439052838e-057
density ln. v2 :-98.542224784944338
dist. expected v3 :15.798320460032333
density v3 :2.5339437981016726e-055
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :15.191383320032147
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :15.191383320032228
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.74800002574920654
confidence bounds at 95%: [ 0.72109043598175049 , 0.7749096155166626 ]
support: 0.28118923306465149
number of use :1000
number of events to predict :3599
number of events predicted: 1012
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :21.505897404734611
density v1 :1.4774893582121551e-101
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.2268865746170013e-052
density ln. v2 :-85.5295340473956
dist. expected v3 :15.418630647495251
density v3 :9.4970941563747349e-053
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :14.825692440951414
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :14.825692440951332
cum. density train v5 :0
cum. density test v5 :0
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -6.5326161211180835
creation time: 3.46
#id:4
a
← j (temp) [ -20 -2.5087499998044218 ]
( 29 40 23 34 41 30 28 28 32 32 27 41 37 35 33 28 36 33 31 30 31 41 41 34 48 29 31 37 26 19 35 38 23 35 27 )
BASE: confidence: 0.75300002098083496 confidence bounds at 95%: [ 0.72626984119415283 , 0.77973020076751709 ] support: 0.28137201070785522 number of use :1000 number of events to predict :3586 number of events predicted: 1009 dataset range :99988.185138863177
OLD: confidence: 0.74800002574920654 confidence bounds at 95%: [ 0.72109043598175049 , 0.7749096155166626 ] support: 0.28118923306465149 number of use :1000 number of events to predict :3599 number of events predicted: 1012 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="4" score="-6.5326161211180835" creationTime="3.46" confidence = "0.75300002098083496" support = "0.28137201070785522" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "1009" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.75300002098083496" basesupport = "0.28137201070785522" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "1009" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "17.491250000195578" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.74800002574920654" oldsupport = "0.28118923306465149" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "1012" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "17.491250000195578" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="29"/><i v="40"/><i v="23"/><i v="34"/><i v="41"/><i v="30"/><i v="28"/><i v="28"/><i v="32"/><i v="32"/><i v="27"/><i v="41"/><i v="37"/><i v="35"/><i v="33"/><i v="28"/><i v="36"/><i v="33"/><i v="31"/><i v="30"/><i v="31"/><i v="41"/><i v="41"/><i v="34"/><i v="48"/><i v="29"/><i v="31"/><i v="37"/><i v="26"/><i v="19"/><i v="35"/><i v="38"/><i v="23"/><i v="35"/><i v="27"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
534
similarId:
537
base
Show/Hide
confidence: 0.6599423885345459
confidence bounds at 95%: [ 0.63116443157196045 , 0.68872034549713135 ]
support: 0.17791411280632019
number of use :1041
number of events to predict :3586
number of events predicted: 638
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :9.5631648540702638
density v1 :5.5195007182616849e-021
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.4096019027402308e-059
density ln. v2 :-133.29833218164615
dist. expected v3 :8.6471952356727719
density v3 :2.3117743019316021e-017
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :8.2985458903092013
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :8.2985458903092457
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.66535431146621704
confidence bounds at 95%: [ 0.63633894920349121 , 0.69436967372894287 ]
support: 0.17254793643951416
number of use :1016
number of events to predict :3599
number of events predicted: 621
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :9.7010465739019196
density v1 :1.4625713791118348e-021
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.7737835005799026e-063
density ln. v2 :-140.14395024632353
dist. expected v3 :8.7953115434594977
density v3 :6.3524500137718347e-018
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :8.450480357343304
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :8.4504803573432579
cum. density train v5 :0
cum. density test v5 :0
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -6.5704286831871679
creation time: 5.444
#id:534
a
← r (temp) [ -4.0079999998211857 -0.0099999997764825821 ]
( 76 116 93 105 112 102 103 88 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.6599423885345459 confidence bounds at 95%: [ 0.63116443157196045 , 0.68872034549713135 ] support: 0.17791411280632019 number of use :1041 number of events to predict :3586 number of events predicted: 638 dataset range :99988.185138863177
OLD: confidence: 0.66535431146621704 confidence bounds at 95%: [ 0.63633894920349121 , 0.69436967372894287 ] support: 0.17254793643951416 number of use :1016 number of events to predict :3599 number of events predicted: 621 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="534" score="-6.5704286831871679" creationTime="5.444" confidence = "0.6599423885345459" support = "0.17791411280632019" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "638" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.6599423885345459" basesupport = "0.17791411280632019" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "638" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.9980000000447031" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.66535431146621704" oldsupport = "0.17254793643951416" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "621" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.9980000000447031" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
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Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
699
similarId:
704 ,
707 ,
710 ,
713 ,
716
base
Show/Hide
confidence: 0.87199997901916504
confidence bounds at 95%: [ 0.84580731391906738 , 0.8981926441192627 ]
support: 0.22615727782249451
number of use :625
number of events to predict :3586
number of events predicted: 811
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :27.076926109112136
density v1 :2.4960577485639035e-160
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.9684544786542576e-110
density ln. v2 :-251.20502610148688
dist. expected v3 :18.404132499914276
density v3 :1.123346089370348e-074
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :18.040641412388812
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :18.040641412388865
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.8730158805847168
confidence bounds at 95%: [ 0.84822595119476318 , 0.89780580997467041 ]
support: 0.2586829662322998
number of use :693
number of events to predict :3599
number of events predicted: 931
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :29.873348943345032
density v1 :6.5316922200590294e-195
cum. density train v1 :0
cum. density test v1 :0
density v2 :9.2270898408388587e-109
density ln. v2 :-234.44423447458462
dist. expected v3 :19.535396352328856
density v3 :5.3782011364258734e-084
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :19.082750086485969
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :19.082750086485902
cum. density train v5 :0
cum. density test v5 :0
parentId:
0 [Interactive]
creation: Add condition [ gain:0.002065688475307748 impList:1 first:1 loop:24 ]
number of condition: 2
score: -6.5854595140172645
creation time: 5.9740000000000002
#id:699
a
← r (temp) [ -20 -0.0099999997764825821 ]
( 11 4 18 8 17 6 8 16 10 12 8 11 21 14 11 11 16 12 8 11 16 13 5 12 10 10 6 6 10 7 11 16 39 79 76 111 86 86 78 91 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.87199997901916504 confidence bounds at 95%: [ 0.84580731391906738 , 0.8981926441192627 ] support: 0.22615727782249451 number of use :625 number of events to predict :3586 number of events predicted: 811 dataset range :99988.185138863177
OLD: confidence: 0.8730158805847168 confidence bounds at 95%: [ 0.84822595119476318 , 0.89780580997467041 ] support: 0.2586829662322998 number of use :693 number of events to predict :3599 number of events predicted: 931 dataset range :99936.387513848851
Add condition [ gain:0.002065688475307748 impList:1 first:1 loop:24 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="699" score="-6.5854595140172645" creationTime="5.9740000000000002" confidence = "0.87199997901916504" support = "0.22615727782249451" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "811" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.87199997901916504" basesupport = "0.22615727782249451" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "811" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "19.990000000223517" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.8730158805847168" oldsupport = "0.2586829662322998" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "931" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "19.990000000223517" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="0.002065688475307748" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="24" threathold="-1" >
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<i v="707" />
<i v="710" />
<i v="713" />
<i v="716" />
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
529
similarId: *none*
base
Show/Hide
confidence: 0.68876081705093384
confidence bounds at 95%: [ 0.66063457727432251 , 0.71688705682754517 ]
support: 0.18070273101329803
number of use :1041
number of events to predict :3586
number of events predicted: 648
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :11.423307748651272
density v1 :1.8405219565369701e-029
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.9102789458312814e-084
density ln. v2 :-186.83752097351464
dist. expected v3 :10.410955650719981
density v3 :1.1607947711132341e-024
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :9.9911926208234654
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :9.9911926208235187
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.68208658695220947
confidence bounds at 95%: [ 0.65345251560211182 , 0.71072065830230713 ]
support: 0.17560432851314545
number of use :1016
number of events to predict :3599
number of events predicted: 632
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :10.7680947154286
density v1 :2.6441297242482715e-026
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.3287395189683759e-075
density ln. v2 :-168.06067280988162
dist. expected v3 :9.8345617592662347
density v3 :3.9694637668488617e-022
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :9.4489854690320794
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :9.4489854690320279
cum. density train v5 :0
cum. density test v5 :0
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -6.5915015214581647
creation time: 5.4320000000000004
#id:529
a
← r (temp) [ -5.0074999998323619 -0.0099999997764825821 ]
( 28 34 76 116 93 105 112 102 103 88 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.68876081705093384 confidence bounds at 95%: [ 0.66063457727432251 , 0.71688705682754517 ] support: 0.18070273101329803 number of use :1041 number of events to predict :3586 number of events predicted: 648 dataset range :99988.185138863177
OLD: confidence: 0.68208658695220947 confidence bounds at 95%: [ 0.65345251560211182 , 0.71072065830230713 ] support: 0.17560432851314545 number of use :1016 number of events to predict :3599 number of events predicted: 632 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="529" score="-6.5915015214581647" creationTime="5.4320000000000004" confidence = "0.68876081705093384" support = "0.18070273101329803" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "648" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.68876081705093384" basesupport = "0.18070273101329803" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "648" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "4.9975000000558794" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.68208658695220947" oldsupport = "0.17560432851314545" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "632" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "4.9975000000558794" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
<values></values>
<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
18
similarId: *none*
base
Show/Hide
confidence: 0.75400000810623169
confidence bounds at 95%: [ 0.72730624675750732 , 0.78069376945495605 ]
support: 0.28276631236076355
number of use :1000
number of events to predict :3586
number of events predicted: 1014
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :21.999906417231749
density v1 :3.1808235482070842e-106
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.6580194614565578e-057
density ln. v2 :-97.45294108473594
dist. expected v3 :15.879841226028898
density v3 :6.9667441518672475e-056
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :15.269772235355743
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :15.269772235355825
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.74299997091293335
confidence bounds at 95%: [ 0.71591567993164063 , 0.77008426189422607 ]
support: 0.28146708011627197
number of use :1000
number of events to predict :3599
number of events predicted: 1013
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :21.320271048325843
density v1 :7.8663327793466422e-100
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.8424644776852681e-049
density ln. v2 :-74.630637322395131
dist. expected v3 :15.129495177871503
density v3 :7.8623774941355672e-051
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :14.547675952690305
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :14.547675952690225
cum. density train v5 :0
cum. density test v5 :0
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -6.6256350512935942
creation time: 3.4990000000000001
#id:18
a
← j (temp) [ -20 -0.50974999978206981 ]
( 29 40 23 34 41 30 28 28 32 32 27 41 37 35 33 28 36 33 31 30 31 41 41 34 48 29 31 37 26 19 35 0 0 35 27 28 27 0 29 )
BASE: confidence: 0.75400000810623169 confidence bounds at 95%: [ 0.72730624675750732 , 0.78069376945495605 ] support: 0.28276631236076355 number of use :1000 number of events to predict :3586 number of events predicted: 1014 dataset range :99988.185138863177
OLD: confidence: 0.74299997091293335 confidence bounds at 95%: [ 0.71591567993164063 , 0.77008426189422607 ] support: 0.28146708011627197 number of use :1000 number of events to predict :3599 number of events predicted: 1013 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="18" score="-6.6256350512935942" creationTime="3.4990000000000001" confidence = "0.75400000810623169" support = "0.28276631236076355" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "1014" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.75400000810623169" basesupport = "0.28276631236076355" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "1014" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "19.49025000021793" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.74299997091293335" oldsupport = "0.28146708011627197" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "1013" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "19.49025000021793" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="29"/><i v="40"/><i v="23"/><i v="34"/><i v="41"/><i v="30"/><i v="28"/><i v="28"/><i v="32"/><i v="32"/><i v="27"/><i v="41"/><i v="37"/><i v="35"/><i v="33"/><i v="28"/><i v="36"/><i v="33"/><i v="31"/><i v="30"/><i v="31"/><i v="41"/><i v="41"/><i v="34"/><i v="48"/><i v="29"/><i v="31"/><i v="37"/><i v="26"/><i v="19"/><i v="35"/><i v="0"/><i v="0"/><i v="35"/><i v="27"/><i v="28"/><i v="27"/><i v="0"/><i v="29"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
352
similarId:
358 ,
437 ,
487
base
Show/Hide
confidence: 0.63532400131225586
confidence bounds at 95%: [ 0.60169452428817749 , 0.66895347833633423 ]
support: 0.15616285800933838
number of use :787
number of events to predict :3586
number of events predicted: 560
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :72.268829359697961
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-832.38319905200331
dist. expected v3 :49.754369453813084
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :49.602278690318613
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :49.602278690317789
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.67718446254730225
confidence bounds at 95%: [ 0.6452600359916687 , 0.70910888910293579 ]
support: 0.18227285146713257
number of use :824
number of events to predict :3599
number of events predicted: 656
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :82.02043082297125
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-969.10289294591564
dist. expected v3 :54.976194397727987
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :54.795667753715641
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :54.795667753716096
cum. density train v5 :0
cum. density test v5 :0
parentId:
60 [Interactive]
creation: Add condition [ gain:0.0044414758959534506 impList:1 first:1 loop:9 ]
number of condition: 2
score: -6.6956194020256703
creation time: 4.7800000000000002
#id:352
a
← r (temp) [ -3.0084999998100099 -0.0099999997764825821 ]
( 89 120 110 106 103 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.63532400131225586 confidence bounds at 95%: [ 0.60169452428817749 , 0.66895347833633423 ] support: 0.15616285800933838 number of use :787 number of events to predict :3586 number of events predicted: 560 dataset range :99988.185138863177
OLD: confidence: 0.67718446254730225 confidence bounds at 95%: [ 0.6452600359916687 , 0.70910888910293579 ] support: 0.18227285146713257 number of use :824 number of events to predict :3599 number of events predicted: 656 dataset range :99936.387513848851
Add condition [ gain:0.0044414758959534506 impList:1 first:1 loop:9 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="352" score="-6.6956194020256703" creationTime="4.7800000000000002" confidence = "0.63532400131225586" support = "0.15616285800933838" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "560" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.63532400131225586" basesupport = "0.15616285800933838" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "560" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.9985000000335273" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.67718446254730225" oldsupport = "0.18227285146713257" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "656" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.9985000000335273" testexpConfidence = "-1" testexpSupport = "-1" parentId="60" entropyGain="0.0044414758959534506" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="9" threathold="-1" >
<similarId>
<i v="358" />
<i v="437" />
<i v="487" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="89"/><i v="120"/><i v="110"/><i v="106"/><i v="103"/><i v="118"/></values>
<bounds><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="111"/><i v="114"/><i v="93"/><i v="95"/><i v="121"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
539
similarId: *none*
base
Show/Hide
confidence: 0.60710853338241577
confidence bounds at 95%: [ 0.57743972539901733 , 0.63677734136581421 ]
support: 0.16480758786201477
number of use :1041
number of events to predict :3586
number of events predicted: 591
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :6.1528983921544169
density v1 :2.3994702687892135e-009
cum. density train v1 :7.6381276649106766e-006
cum. density test v1 :3.8190783868685685e-010
density v2 :9.6584034606666979e-033
density ln. v2 :-68.598766538587242
dist. expected v3 :5.2754819828404331
density v3 :3.6103403299175119e-007
cum. density train v3 :0.0013258987179098902
cum. density test v3 :6.6338922799502598e-008
dist. expected v4 :5.0627779453269861
cum. density train v4 :0.0041303006142492382
cum. density test v4 :2.0694267188758886e-007
dist. expected v5 :5.0627779453270136
cum. density train v5 :0.0041303006142492382
cum. density test v5 :2.0694267188758886e-007
old
Show/Hide
confidence: 0.61515748500823975
confidence bounds at 95%: [ 0.58523869514465332 , 0.64507627487182617 ]
support: 0.16004446148872375
number of use :1016
number of events to predict :3599
number of events predicted: 576
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :6.4999021493218807
density v1 :2.6712550585641697e-010
cum. density train v1 :8.0768248744700344e-007
cum. density test v1 :4.0384140476135144e-011
density v2 :5.606137598264012e-037
density ln. v2 :-76.746920073299961
dist. expected v3 :5.6219647319332244
density v3 :5.465734357167913e-008
cum. density train v3 :0.00018929290956393174
cum. density test v3 :9.4655413507283015e-009
dist. expected v4 :5.4015485752983192
cum. density train v4 :0.00066196370042970187
cum. density test v4 :3.3109144204068741e-008
dist. expected v5 :5.4015485752982899
cum. density train v5 :0.00066196370042970187
cum. density test v5 :3.3109144204068741e-008
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -6.9237218030443346
creation time: 5.46
#id:539
a
← r (temp) [ -3.5082499998155972 -0.0099999997764825821 ]
( 116 93 105 112 102 103 88 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.60710853338241577 confidence bounds at 95%: [ 0.57743972539901733 , 0.63677734136581421 ] support: 0.16480758786201477 number of use :1041 number of events to predict :3586 number of events predicted: 591 dataset range :99988.185138863177
OLD: confidence: 0.61515748500823975 confidence bounds at 95%: [ 0.58523869514465332 , 0.64507627487182617 ] support: 0.16004446148872375 number of use :1016 number of events to predict :3599 number of events predicted: 576 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="539" score="-6.9237218030443346" creationTime="5.46" confidence = "0.60710853338241577" support = "0.16480758786201477" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "591" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.60710853338241577" basesupport = "0.16480758786201477" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "591" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.4982500000391146" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.61515748500823975" oldsupport = "0.16004446148872375" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "576" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.4982500000391146" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="116"/><i v="93"/><i v="105"/><i v="112"/><i v="102"/><i v="103"/><i v="88"/></values>
<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="53"/><i v="53"/><i v="50"/><i v="45"/><i v="52"/><i v="45"/><i v="56"/><i v="57"/><i v="43"/><i v="50"/><i v="48"/><i v="47"/><i v="45"/><i v="39"/><i v="51"/><i v="47"/><i v="55"/><i v="47"/><i v="44"/><i v="48"/></values>
<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
31
similarId:
41 ,
43
base
Show/Hide
confidence: 0.42950001358985901
confidence bounds at 95%: [ 0.41697466373443604 , 0.44202536344528198 ]
support: 0.60568881034851074
number of use :6000
number of events to predict :3586
number of events predicted: 2172
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.4514214371133946e-032
density ln. v2 :5.5154916362086768
dist. expected v3 :-9.7033049547382095
density v3 :1.4308732143982388e-021
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-12.184319797917745
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-12.184319797917491
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.43683332204818726
confidence bounds at 95%: [ 0.42428293824195862 , 0.44938370585441589 ]
support: 0.60794663429260254
number of use :6000
number of events to predict :3599
number of events predicted: 2188
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :6.6724538727674522e-028
density ln. v2 :12.540480338754167
dist. expected v3 :-9.3499564987169101
density v3 :4.1450716019274417e-020
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-11.72249845749149
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-11.722498457491746
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -7.155400345713919
creation time: 3.5169999999999999
#id:31
a
← r (temp) [ -20 -4.0079999998211857 ]
( 111 102 101 114 112 98 107 118 107 101 96 107 118 104 104 99 103 102 88 112 109 108 99 94 105 103 95 96 106 107 114 122 )
BASE: confidence: 0.42950001358985901 confidence bounds at 95%: [ 0.41697466373443604 , 0.44202536344528198 ] support: 0.60568881034851074 number of use :6000 number of events to predict :3586 number of events predicted: 2172 dataset range :99988.185138863177
OLD: confidence: 0.43683332204818726 confidence bounds at 95%: [ 0.42428293824195862 , 0.44938370585441589 ] support: 0.60794663429260254 number of use :6000 number of events to predict :3599 number of events predicted: 2188 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="31" score="-7.155400345713919" creationTime="3.5169999999999999" confidence = "0.42950001358985901" support = "0.60568881034851074" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "2172" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.42950001358985901" basesupport = "0.60568881034851074" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "2172" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.992000000178814" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43683332204818726" oldsupport = "0.60794663429260254" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "2188" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.992000000178814" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="41" />
<i v="43" />
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<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
392
similarId: *none*
base
Show/Hide
confidence: 0.57433289289474487
confidence bounds at 95%: [ 0.5397878885269165 , 0.60887789726257324 ]
support: 0.13803680241107941
number of use :787
number of events to predict :3586
number of events predicted: 495
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :56.963268222988518
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-481.03406446620392
dist. expected v3 :39.897392753234918
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :39.75378832556288
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :39.753788325562546
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.61650484800338745
confidence bounds at 95%: [ 0.58330464363098145 , 0.64970505237579346 ]
support: 0.16060017049312592
number of use :824
number of events to predict :3599
number of events predicted: 578
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :65.077633099315534
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-581.99002580611193
dist. expected v3 :44.613491813864648
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :44.441020527555359
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :44.441020527555992
cum. density train v5 :0
cum. density test v5 :0
parentId:
379 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -7.1637599958054459
creation time: 4.9530000000000003
#id:392
a
← r (temp) [ -2.5087499998044218 -0.0099999997764825821 ]
( 120 110 106 103 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.57433289289474487 confidence bounds at 95%: [ 0.5397878885269165 , 0.60887789726257324 ] support: 0.13803680241107941 number of use :787 number of events to predict :3586 number of events predicted: 495 dataset range :99988.185138863177
OLD: confidence: 0.61650484800338745 confidence bounds at 95%: [ 0.58330464363098145 , 0.64970505237579346 ] support: 0.16060017049312592 number of use :824 number of events to predict :3599 number of events predicted: 578 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="392" score="-7.1637599958054459" creationTime="4.9530000000000003" confidence = "0.57433289289474487" support = "0.13803680241107941" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "495" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.57433289289474487" basesupport = "0.13803680241107941" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "495" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.4987500000279392" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.61650484800338745" oldsupport = "0.16060017049312592" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "578" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.4987500000279392" testexpConfidence = "-1" testexpSupport = "-1" parentId="379" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
362
similarId:
439 ,
490
base
Show/Hide
confidence: 0.57433289289474487
confidence bounds at 95%: [ 0.5397878885269165 , 0.60887789726257324 ]
support: 0.13803680241107941
number of use :787
number of events to predict :3586
number of events predicted: 495
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :63.160341304491595
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-571.43146745437105
dist. expected v3 :44.00788272737195
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :43.873358010100752
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :43.87335801010002
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.61650484800338745
confidence bounds at 95%: [ 0.58330464363098145 , 0.64970505237579346 ]
support: 0.16060017049312592
number of use :824
number of events to predict :3599
number of events predicted: 578
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :71.917387575025543
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-689.34815836703854
dist. expected v3 :49.069592599902506
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :48.908461605439207
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :48.908461605439612
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -7.1637599958054459
creation time: 4.8140000000000001
#id:362
a
← r (temp) [ -2.5087499998044218 -0.0099999997764825821 ]
( 120 110 106 103 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.57433289289474487 confidence bounds at 95%: [ 0.5397878885269165 , 0.60887789726257324 ] support: 0.13803680241107941 number of use :787 number of events to predict :3586 number of events predicted: 495 dataset range :99988.185138863177
OLD: confidence: 0.61650484800338745 confidence bounds at 95%: [ 0.58330464363098145 , 0.64970505237579346 ] support: 0.16060017049312592 number of use :824 number of events to predict :3599 number of events predicted: 578 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="362" score="-7.1637599958054459" creationTime="4.8140000000000001" confidence = "0.57433289289474487" support = "0.13803680241107941" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "495" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.57433289289474487" basesupport = "0.13803680241107941" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "495" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.4987500000279392" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.61650484800338745" oldsupport = "0.16060017049312592" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "578" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.4987500000279392" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="439" />
<i v="490" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="120"/><i v="110"/><i v="106"/><i v="103"/><i v="118"/></values>
<bounds><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="111"/><i v="114"/><i v="93"/><i v="95"/><i v="121"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
421
similarId: *none*
base
Show/Hide
confidence: 0.60355782508850098
confidence bounds at 95%: [ 0.56938207149505615 , 0.6377335786819458 ]
support: 0.14026771485805511
number of use :787
number of events to predict :3586
number of events predicted: 503
dataset range :99988.185138863177
rule range :4.4977500000502921
exp. confidence :0.1489734918855965
exp. support :0.03478294105612556
std. error exp. confidence :0.012692251716012746
std. error exp. support :0.003059782118249229
dist. expected v1 :49.711934835745325
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.4989457629177579e-319
density ln. v2 :-509.16310185871004
dist. expected v3 :35.910247841794749
density v3 :3.7981821419003458e-281
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :35.740967892164697
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :35.740967892164775
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.60436892509460449
confidence bounds at 95%: [ 0.57098102569580078 , 0.6377568244934082 ]
support: 0.15004168450832367
number of use :824
number of events to predict :3599
number of events predicted: 540
dataset range :99936.387513848851
rule range :4.4977500000502921
exp. confidence :0.14954238623096183
exp. support :0.036406626687261134
std. error exp. confidence :0.012423526311352722
std. error exp. support :0.0031220956148405505
dist. expected v1 :51.62406775750636
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-483.55600750346747
dist. expected v3 :36.776479000197789
density v3 :8.0765118213605448e-295
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :36.590335859979106
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :36.590335859979128
cum. density train v5 :0
cum. density test v5 :0
parentId:
416 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -7.2696361669054195
creation time: 5.0659999999999998
#id:421
a
← r (temp) [ -4.5077499998267747 -1.009499999787657 ]
( 19 48 97 89 120 110 106 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
BASE: confidence: 0.60355782508850098 confidence bounds at 95%: [ 0.56938207149505615 , 0.6377335786819458 ] support: 0.14026771485805511 number of use :787 number of events to predict :3586 number of events predicted: 503 dataset range :99988.185138863177
OLD: confidence: 0.60436892509460449 confidence bounds at 95%: [ 0.57098102569580078 , 0.6377568244934082 ] support: 0.15004168450832367 number of use :824 number of events to predict :3599 number of events predicted: 540 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="421" score="-7.2696361669054195" creationTime="5.0659999999999998" confidence = "0.60355782508850098" support = "0.14026771485805511" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "503" datasetrange = "99988.185138863177" rulerange = "4.4977500000502921" expConfidence = "0.1489734918855965" expSupport = "0.03478294105612556" baseconfidence = "0.60355782508850098" basesupport = "0.14026771485805511" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "503" basedatasetrange = "99988.185138863177" baserulerange = "4.4977500000502921" baseexpConfidence = "0.1489734918855965" baseexpSupport = "0.03478294105612556" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.4982500000391177" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.60436892509460449" oldsupport = "0.15004168450832367" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "540" olddatasetrange = "99936.387513848851" oldrulerange = "4.4977500000502921" oldexpConfidence = "0.14954238623096183" oldexpSupport = "0.036406626687261134" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.4982500000391177" testexpConfidence = "-1" testexpSupport = "-1" parentId="416" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="19"/><i v="48"/><i v="97"/><i v="89"/><i v="120"/><i v="110"/><i v="106"/></values>
<bounds><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
26
similarId:
40
base
Show/Hide
confidence: 0.41833332180976868
confidence bounds at 95%: [ 0.40585148334503174 , 0.43081516027450562 ]
support: 0.59035134315490723
number of use :6000
number of events to predict :3586
number of events predicted: 2117
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :7.0292307592770179e-043
density ln. v2 :10.89114662114379
dist. expected v3 :-11.205367119031809
density v3 :2.1669441179831949e-028
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-14.070440645554186
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-14.070440645553894
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.42616665363311768
confidence bounds at 95%: [ 0.41365361213684082 , 0.43867969512939453 ]
support: 0.59405392408370972
number of use :6000
number of events to predict :3599
number of events predicted: 2138
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :4.1536022432762868e-037
density ln. v2 :17.277690637051379
dist. expected v3 :-10.737080723344322
density v3 :3.6907240371500117e-026
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-13.461604044322332
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-13.461604044322627
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -7.2803217409357153
creation time: 3.5070000000000001
#id:26
a
← r (temp) [ -20 -4.5077499998267747 ]
( 111 102 101 114 112 98 107 118 107 101 96 107 118 104 104 99 103 102 88 112 109 108 99 94 105 103 95 96 106 107 114 )
BASE: confidence: 0.41833332180976868 confidence bounds at 95%: [ 0.40585148334503174 , 0.43081516027450562 ] support: 0.59035134315490723 number of use :6000 number of events to predict :3586 number of events predicted: 2117 dataset range :99988.185138863177
OLD: confidence: 0.42616665363311768 confidence bounds at 95%: [ 0.41365361213684082 , 0.43867969512939453 ] support: 0.59405392408370972 number of use :6000 number of events to predict :3599 number of events predicted: 2138 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="26" score="-7.2803217409357153" creationTime="3.5070000000000001" confidence = "0.41833332180976868" support = "0.59035134315490723" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "2117" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.41833332180976868" basesupport = "0.59035134315490723" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "2117" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.492250000173225" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.42616665363311768" oldsupport = "0.59405392408370972" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "2138" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.492250000173225" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="40" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="111"/><i v="102"/><i v="101"/><i v="114"/><i v="112"/><i v="98"/><i v="107"/><i v="118"/><i v="107"/><i v="101"/><i v="96"/><i v="107"/><i v="118"/><i v="104"/><i v="104"/><i v="99"/><i v="103"/><i v="102"/><i v="88"/><i v="112"/><i v="109"/><i v="108"/><i v="99"/><i v="94"/><i v="105"/><i v="103"/><i v="95"/><i v="96"/><i v="106"/><i v="107"/><i v="114"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
538
similarId: *none*
base
Show/Hide
confidence: 0.54947167634963989
confidence bounds at 95%: [ 0.51924681663513184 , 0.57969653606414795 ]
support: 0.14919130504131317
number of use :1041
number of events to predict :3586
number of events predicted: 535
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :2.4326126029924011
density v1 :0.020697536999461696
cum. density train v1 :1
cum. density test v1 :0.007495165267191739
density v2 :1.1972667869861701e-015
density ln. v2 :-21.418547855840423
dist. expected v3 :1.574472584224744
density v3 :0.11550742187320211
cum. density train v3 :1
cum. density test v3 :0.057689124847300599
dist. expected v4 :1.5109908631785627
cum. density train v4 :1
cum. density test v4 :0.065395415923211742
dist. expected v5 :1.5109908631785707
cum. density train v5 :1
cum. density test v5 :0.065395415923210742
old
Show/Hide
confidence: 0.55905508995056152
confidence bounds at 95%: [ 0.52852493524551392 , 0.58958524465560913 ]
support: 0.14531815052032471
number of use :1016
number of events to predict :3599
number of events predicted: 523
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :2.9221486972222688
density v1 :0.0055808452389634793
cum. density train v1 :0.99999999999999922
cum. density test v1 :0.001738195441857826
density v2 :8.4115139433933498e-019
density ln. v2 :-27.632441007558182
dist. expected v3 :2.0627433028478945
density v3 :0.047530032721071383
cum. density train v3 :1
cum. density test v3 :0.019568445724656991
dist. expected v4 :1.9818708725468639
cum. density train v4 :1
cum. density test v4 :0.023746778096373822
dist. expected v5 :1.981870872546853
cum. density train v5 :1
cum. density test v5 :0.023746778096374377
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -7.3676708317742055
creation time: 5.4560000000000004
#id:538
a
← r (temp) [ -3.5082499998155972 -0.50974999978206981 ]
( 116 93 105 112 102 103 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.54947167634963989 confidence bounds at 95%: [ 0.51924681663513184 , 0.57969653606414795 ] support: 0.14919130504131317 number of use :1041 number of events to predict :3586 number of events predicted: 535 dataset range :99988.185138863177
OLD: confidence: 0.55905508995056152 confidence bounds at 95%: [ 0.52852493524551392 , 0.58958524465560913 ] support: 0.14531815052032471 number of use :1016 number of events to predict :3599 number of events predicted: 523 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="538" score="-7.3676708317742055" creationTime="5.4560000000000004" confidence = "0.54947167634963989" support = "0.14919130504131317" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "535" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.54947167634963989" basesupport = "0.14919130504131317" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "535" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.9985000000335273" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.55905508995056152" oldsupport = "0.14531815052032471" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "523" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.9985000000335273" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="116"/><i v="93"/><i v="105"/><i v="112"/><i v="102"/><i v="103"/></values>
<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="53"/><i v="53"/><i v="50"/><i v="45"/><i v="52"/><i v="45"/><i v="56"/><i v="57"/><i v="43"/><i v="50"/><i v="48"/><i v="47"/><i v="45"/><i v="39"/><i v="51"/><i v="47"/><i v="55"/><i v="47"/><i v="44"/><i v="48"/></values>
<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
19
similarId: *none*
base
Show/Hide
confidence: 0.40883332490921021
confidence bounds at 95%: [ 0.39639365673065186 , 0.42127299308776855 ]
support: 0.57724481821060181
number of use :6000
number of events to predict :3586
number of events predicted: 2070
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.040320489488511e-052
density ln. v2 :16.181418800617841
dist. expected v3 :-12.487213658047782
density v3 :5.5084718897632763e-035
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-15.680039461223483
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-15.680039461223158
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.41616666316986084
confidence bounds at 95%: [ 0.4036940336227417 , 0.42863929271697998 ]
support: 0.58127260208129883
number of use :6000
number of events to predict :3599
number of events predicted: 2092
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :8.365735356393991e-047
density ln. v2 :21.63315148046355
dist. expected v3 :-12.020890900792766
density v3 :1.6700864945374292e-032
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-15.071179749505184
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-15.071179749505513
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -7.3843183789891897
creation time: 3.4990000000000001
#id:19
a
← r (temp) [ -20 -5.0074999998323619 ]
( 111 102 101 114 112 98 107 118 107 101 96 107 118 104 104 99 103 102 88 112 109 108 99 94 105 103 95 96 106 107 )
BASE: confidence: 0.40883332490921021 confidence bounds at 95%: [ 0.39639365673065186 , 0.42127299308776855 ] support: 0.57724481821060181 number of use :6000 number of events to predict :3586 number of events predicted: 2070 dataset range :99988.185138863177
OLD: confidence: 0.41616666316986084 confidence bounds at 95%: [ 0.4036940336227417 , 0.42863929271697998 ] support: 0.58127260208129883 number of use :6000 number of events to predict :3599 number of events predicted: 2092 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="19" score="-7.3843183789891897" creationTime="3.4990000000000001" confidence = "0.40883332490921021" support = "0.57724481821060181" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "2070" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.40883332490921021" basesupport = "0.57724481821060181" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "2070" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.992500000167638" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.41616666316986084" oldsupport = "0.58127260208129883" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "2092" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.992500000167638" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="111"/><i v="102"/><i v="101"/><i v="114"/><i v="112"/><i v="98"/><i v="107"/><i v="118"/><i v="107"/><i v="101"/><i v="96"/><i v="107"/><i v="118"/><i v="104"/><i v="104"/><i v="99"/><i v="103"/><i v="102"/><i v="88"/><i v="112"/><i v="109"/><i v="108"/><i v="99"/><i v="94"/><i v="105"/><i v="103"/><i v="95"/><i v="96"/><i v="106"/><i v="107"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
62
similarId: *none*
base
Show/Hide
confidence: 0.26600000262260437
confidence bounds at 95%: [ 0.25481930375099182 , 0.27718070149421692 ]
support: 0.43028444051742554
number of use :6000
number of events to predict :3586
number of events predicted: 1543
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :8.6786210839904415e-315
density ln. v2 :-130.93198464170356
dist. expected v3 :-28.341239941507343
density v3 :1.5227410446929439e-175
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-35.587743817968217
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-35.587743817967478
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.26383334398269653
confidence bounds at 95%: [ 0.25268185138702393 , 0.27498483657836914 ]
support: 0.42650735378265381
number of use :6000
number of events to predict :3599
number of events predicted: 1535
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :-134.5451693030291
dist. expected v3 :-28.847447954081044
density v3 :7.8767994484864885e-182
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-36.167458553490299
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-36.167458553491088
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -7.3886180516201447
creation time: 3.6480000000000001
#id:62
a
← r (temp) [ -1.509249999793248 -0.0099999997764825821 ]
( 542 582 536 )
BASE: confidence: 0.26600000262260437 confidence bounds at 95%: [ 0.25481930375099182 , 0.27718070149421692 ] support: 0.43028444051742554 number of use :6000 number of events to predict :3586 number of events predicted: 1543 dataset range :99988.185138863177
OLD: confidence: 0.26383334398269653 confidence bounds at 95%: [ 0.25268185138702393 , 0.27498483657836914 ] support: 0.42650735378265381 number of use :6000 number of events to predict :3599 number of events predicted: 1535 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="62" score="-7.3886180516201447" creationTime="3.6480000000000001" confidence = "0.26600000262260437" support = "0.43028444051742554" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "1543" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.26600000262260437" basesupport = "0.43028444051742554" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "1543" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167654" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.26383334398269653" oldsupport = "0.42650735378265381" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "1535" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167654" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="542"/><i v="582"/><i v="536"/></values>
<bounds><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
13
similarId: *none*
base
Show/Hide
confidence: 0.398499995470047
confidence bounds at 95%: [ 0.38611167669296265 , 0.41088831424713135 ]
support: 0.56581151485443115
number of use :6000
number of events to predict :3586
number of events predicted: 2029
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :2.5598549716637553e-064
density ln. v2 :16.030561237175714
dist. expected v3 :-13.688866705927454
density v3 :8.142518467637774e-042
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-17.188940303751266
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-17.188940303750908
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.4050000011920929
confidence bounds at 95%: [ 0.39257872104644775 , 0.41742128133773804 ]
support: 0.569324791431427
number of use :6000
number of events to predict :3599
number of events predicted: 2049
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.1340085965399466e-058
density ln. v2 :21.630077743504884
dist. expected v3 :-13.295560911450151
density v3 :1.6419919665219945e-039
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-16.669295979863303
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-16.669295979863666
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -7.4928280593081373
creation time: 3.4849999999999999
#id:13
a
← r (temp) [ -20 -5.5072499998379492 ]
( 111 102 101 114 112 98 107 118 107 101 96 107 118 104 104 99 103 102 88 112 109 108 99 94 105 103 95 96 106 )
BASE: confidence: 0.398499995470047 confidence bounds at 95%: [ 0.38611167669296265 , 0.41088831424713135 ] support: 0.56581151485443115 number of use :6000 number of events to predict :3586 number of events predicted: 2029 dataset range :99988.185138863177
OLD: confidence: 0.4050000011920929 confidence bounds at 95%: [ 0.39257872104644775 , 0.41742128133773804 ] support: 0.569324791431427 number of use :6000 number of events to predict :3599 number of events predicted: 2049 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="13" score="-7.4928280593081373" creationTime="3.4849999999999999" confidence = "0.398499995470047" support = "0.56581151485443115" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "2029" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.398499995470047" basesupport = "0.56581151485443115" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "2029" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.492750000162051" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4050000011920929" oldsupport = "0.569324791431427" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "2049" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.492750000162051" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="111"/><i v="102"/><i v="101"/><i v="114"/><i v="112"/><i v="98"/><i v="107"/><i v="118"/><i v="107"/><i v="101"/><i v="96"/><i v="107"/><i v="118"/><i v="104"/><i v="104"/><i v="99"/><i v="103"/><i v="102"/><i v="88"/><i v="112"/><i v="109"/><i v="108"/><i v="99"/><i v="94"/><i v="105"/><i v="103"/><i v="95"/><i v="96"/><i v="106"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
17
similarId: *none*
base
Show/Hide
confidence: 0.6679999828338623
confidence bounds at 95%: [ 0.63881134986877441 , 0.6971886157989502 ]
support: 0.23034021258354187
number of use :1000
number of events to predict :3586
number of events predicted: 826
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :12.488858152128438
density v1 :5.396500832740375e-035
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.166155004447079e-025
density ln. v2 :-52.79155254649438
dist. expected v3 :9.9736178522770285
density v3 :1.0014079712969986e-022
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :9.5904531285312355
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :9.5904531285312871
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.64300000667572021
confidence bounds at 95%: [ 0.61330413818359375 , 0.67269587516784668 ]
support: 0.22589607536792755
number of use :1000
number of events to predict :3599
number of events predicted: 813
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :10.75216090545579
density v1 :3.138647002808062e-026
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.9718357911394019e-015
density ln. v2 :-29.388672793584636
dist. expected v3 :8.3492845483916422
density v3 :2.9070729611434574e-016
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :8.0282048157467898
cum. density train v4 :8.8817841970012523e-012
cum. density test v4 :4.4408920985006262e-016
dist. expected v5 :8.0282048157467454
cum. density train v5 :8.8817841970012523e-012
cum. density test v5 :4.4408920985006262e-016
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -7.5201786990597075
creation time: 3.4940000000000002
#id:17
a
← j (temp) [ -20 -0.50974999978206981 ]
( 29 40 0 34 0 30 28 28 32 32 27 41 37 35 33 28 0 33 31 0 31 41 41 34 0 29 31 37 26 0 35 0 0 35 27 0 0 0 29 )
BASE: confidence: 0.6679999828338623 confidence bounds at 95%: [ 0.63881134986877441 , 0.6971886157989502 ] support: 0.23034021258354187 number of use :1000 number of events to predict :3586 number of events predicted: 826 dataset range :99988.185138863177
OLD: confidence: 0.64300000667572021 confidence bounds at 95%: [ 0.61330413818359375 , 0.67269587516784668 ] support: 0.22589607536792755 number of use :1000 number of events to predict :3599 number of events predicted: 813 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="17" score="-7.5201786990597075" creationTime="3.4940000000000002" confidence = "0.6679999828338623" support = "0.23034021258354187" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "826" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.6679999828338623" basesupport = "0.23034021258354187" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "826" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "19.49025000021793" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.64300000667572021" oldsupport = "0.22589607536792755" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "813" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "19.49025000021793" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="29"/><i v="40"/><i v="0"/><i v="34"/><i v="0"/><i v="30"/><i v="28"/><i v="28"/><i v="32"/><i v="32"/><i v="27"/><i v="41"/><i v="37"/><i v="35"/><i v="33"/><i v="28"/><i v="0"/><i v="33"/><i v="31"/><i v="0"/><i v="31"/><i v="41"/><i v="41"/><i v="34"/><i v="0"/><i v="29"/><i v="31"/><i v="37"/><i v="26"/><i v="0"/><i v="35"/><i v="0"/><i v="0"/><i v="35"/><i v="27"/><i v="0"/><i v="0"/><i v="0"/><i v="29"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
728
similarId: *none*
base
Show/Hide
confidence: 0.58079999685287476
confidence bounds at 95%: [ 0.54211521148681641 , 0.61948478221893311 ]
support: 0.11210262030363083
number of use :625
number of events to predict :3586
number of events predicted: 402
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :3.451748138759458
density v1 :0.0010320366077567827
cum. density train v1 :0.99619487377833127
cum. density test v1 :0.00027853150867696019
density v2 :3.0253350304828565e-006
density ln. v2 :-18.298358732279965
dist. expected v3 :3.3045625860612171
density v3 :0.0016968096360041049
cum. density train v3 :0.9999263288521848
cum. density test v3 :0.00047568179336965333
dist. expected v4 :3.2392957744791473
cum. density train v4 :0.99999377761844244
cum. density test v4 :0.00059918830681748858
dist. expected v5 :3.2392957744791566
cum. density train v5 :0.99999377761844244
cum. density test v5 :0.00059918830681748858
old
Show/Hide
confidence: 0.6262626051902771
confidence bounds at 95%: [ 0.59024202823638916 , 0.66228318214416504 ]
support: 0.13864962756633759
number of use :693
number of events to predict :3599
number of events predicted: 499
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :6.1757924471753807
density v1 :2.0836499269016608e-009
cum. density train v1 :6.6097487025906787e-006
cum. density test v1 :3.304885254351575e-010
density v2 :2.9475629054293078e-013
density ln. v2 :-36.157227037202574
dist. expected v3 :5.8301708079082504
density v3 :1.6591350063635228e-008
cum. density train v3 :5.5545056137362714e-005
cum. density test v3 :2.777329921599403e-009
dist. expected v4 :5.6950824279322134
cum. density train v4 :0.00012365911347567149
cum. density test v4 :6.1833379527698185e-009
dist. expected v5 :5.695082427932193
cum. density train v5 :0.00012365911347567149
cum. density test v5 :6.1833379527698185e-009
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -7.5351818097702896
creation time: 6.0739999999999998
#id:728
a
← r (temp) [ -2.5087499998044218 -0.0099999997764825821 ]
( 111 86 86 78 91 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.58079999685287476 confidence bounds at 95%: [ 0.54211521148681641 , 0.61948478221893311 ] support: 0.11210262030363083 number of use :625 number of events to predict :3586 number of events predicted: 402 dataset range :99988.185138863177
OLD: confidence: 0.6262626051902771 confidence bounds at 95%: [ 0.59024202823638916 , 0.66228318214416504 ] support: 0.13864962756633759 number of use :693 number of events to predict :3599 number of events predicted: 499 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="728" score="-7.5351818097702896" creationTime="6.0739999999999998" confidence = "0.58079999685287476" support = "0.11210262030363083" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "402" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.58079999685287476" basesupport = "0.11210262030363083" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "402" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.4987500000279392" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.6262626051902771" oldsupport = "0.13864962756633759" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "499" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.4987500000279392" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
7
similarId: *none*
base
Show/Hide
confidence: 0.38699999451637268
confidence bounds at 95%: [ 0.37467557191848755 , 0.39932441711425781 ]
support: 0.55354154109954834
number of use :6000
number of events to predict :3586
number of events predicted: 1985
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.5880104667216627e-078
density ln. v2 :13.914399138294129
dist. expected v3 :-14.995196743029966
density v3 :5.9438283872731144e-050
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-18.829282744592565
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-18.829282744592174
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.39516666531562805
confidence bounds at 95%: [ 0.38279613852500916 , 0.40753719210624695 ]
support: 0.55959987640380859
number of use :6000
number of events to predict :3599
number of events predicted: 2014
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :3.7763187221981361e-070
density ln. v2 :18.969535959222615
dist. expected v3 :-14.363595900455229
density v3 :6.3188178950027919e-046
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-18.00834376183716
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-18.008343761837555
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -7.618716964106242
creation time: 3.4689999999999999
#id:7
a
← r (temp) [ -20 -6.0069999998435382 ]
( 111 102 101 114 112 98 107 118 107 101 96 107 118 104 104 99 103 102 88 112 109 108 99 94 105 103 95 96 )
BASE: confidence: 0.38699999451637268 confidence bounds at 95%: [ 0.37467557191848755 , 0.39932441711425781 ] support: 0.55354154109954834 number of use :6000 number of events to predict :3586 number of events predicted: 1985 dataset range :99988.185138863177
OLD: confidence: 0.39516666531562805 confidence bounds at 95%: [ 0.38279613852500916 , 0.40753719210624695 ] support: 0.55959987640380859 number of use :6000 number of events to predict :3599 number of events predicted: 2014 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="7" score="-7.618716964106242" creationTime="3.4689999999999999" confidence = "0.38699999451637268" support = "0.55354154109954834" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "1985" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.38699999451637268" basesupport = "0.55354154109954834" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "1985" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.993000000156462" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.39516666531562805" oldsupport = "0.55959987640380859" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "2014" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.993000000156462" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/></bounds>
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</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
446
similarId:
450 ,
453
base
Show/Hide
confidence: 0.66960352659225464
confidence bounds at 95%: [ 0.62633675336837769 , 0.71287029981613159 ]
support: 0.095649749040603638
number of use :454
number of events to predict :3586
number of events predicted: 343
dataset range :99988.185138863177
rule range :3.4982500000391181
exp. confidence :0.11791271295582006
exp. support :0.015758720785927549
std. error exp. confidence :0.015135897252460622
std. error exp. support :0.0020797260202561237
dist. expected v1 :52.954631567355996
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-616.44471229207545
dist. expected v3 :36.531860765529856
density v3 :6.3274545598270387e-291
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :36.480708371835156
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :36.480708371835057
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.61510127782821655
confidence bounds at 95%: [ 0.57417494058609009 , 0.65602761507034302 ]
support: 0.10752987116575241
number of use :543
number of events to predict :3599
number of events predicted: 387
dataset range :99936.387513848851
rule range :3.4982500000391181
exp. confidence :0.11837136723035968
exp. support :0.018828410026729636
std. error exp. confidence :0.013863288473948904
std. error exp. support :0.0022656268489717368
dist. expected v1 :53.071924968339246
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :8.5182825486228453e-306
density ln. v2 :-421.10785266197007
dist. expected v3 :35.976986137375683
density v3 :3.4497160615459027e-282
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :35.907803885259703
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :35.907803885259938
cum. density train v5 :0
cum. density test v5 :0
parentId:
421 [Interactive]
creation: Add condition [ gain:0.01235574044239884 impList:2 first:1 loop:15 ]
number of condition: 3
score: -7.6605263837328117
creation time: 5.1840000000000002
#id:446
a
← r (temp) [ -4.5077499998267747 -1.009499999787657 ]
( 14 30 63 58 88 74 64 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
← r (temp) [ -1.991000000201165 -0.49025000021793019 ]
( 95 101 120 )
BASE: confidence: 0.66960352659225464 confidence bounds at 95%: [ 0.62633675336837769 , 0.71287029981613159 ] support: 0.095649749040603638 number of use :454 number of events to predict :3586 number of events predicted: 343 dataset range :99988.185138863177
OLD: confidence: 0.61510127782821655 confidence bounds at 95%: [ 0.57417494058609009 , 0.65602761507034302 ] support: 0.10752987116575241 number of use :543 number of events to predict :3599 number of events predicted: 387 dataset range :99936.387513848851
Add condition [ gain:0.01235574044239884 impList:2 first:1 loop:15 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="446" score="-7.6605263837328117" creationTime="5.1840000000000002" confidence = "0.66960352659225464" support = "0.095649749040603638" number_of_use = "454" number_of_events_to_predict = "3586" number_of_events_predicted = "343" datasetrange = "99988.185138863177" rulerange = "3.4982500000391181" expConfidence = "0.11791271295582006" expSupport = "0.015758720785927549" baseconfidence = "0.66960352659225464" basesupport = "0.095649749040603638" basenumber_of_use = "454" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "343" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391181" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.015758720785927549" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.4982500000391177" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.61510127782821655" oldsupport = "0.10752987116575241" oldnumber_of_use = "543" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "387" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391181" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.018828410026729636" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.4982500000391177" testexpConfidence = "-1" testexpSupport = "-1" parentId="421" entropyGain="0.01235574044239884" type="2" split="-1" gaussian="-1" impList="2" firstElement="1" loop="15" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
541
similarId: *none*
base
Show/Hide
confidence: 0.52257442474365234
confidence bounds at 95%: [ 0.49223148822784424 , 0.55291736125946045 ]
support: 0.1419408768415451
number of use :1041
number of events to predict :3586
number of events predicted: 509
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :0.69647590038963292
density v1 :0.31302323025890277
cum. density train v1 :1
cum. density test v1 :0.24306535358744152
density v2 :5.0737822307516801e-011
density ln. v2 :-5.468439929606113
dist. expected v3 :-0.15202585366406296
density v3 :0.39435866626864319
cum. density train v3 :1
cum. density test v3 :0.5604167432562952
dist. expected v4 :-0.14589626910933293
cum. density train v4 :1
cum. density test v4 :0.5579983824198339
dist. expected v5 :-0.1458962691093337
cum. density train v5 :1
cum. density test v5 :0.55799838241983435
old
Show/Hide
confidence: 0.54527556896209717
confidence bounds at 95%: [ 0.51465654373168945 , 0.57589459419250488 ]
support: 0.14392887055873871
number of use :1016
number of events to predict :3599
number of events predicted: 518
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :2.0434031689061798
density v1 :0.04945526336033422
cum. density train v1 :1
cum. density test v1 :0.020506204716098542
density v2 :1.7084090650059766e-014
density ln. v2 :-17.571547090896111
dist. expected v3 :1.2256942902112196
density v3 :0.18822790687769672
cum. density train v3 :1
cum. density test v3 :0.11015693713809604
dist. expected v4 :1.1776394130393375
cum. density train v4 :1
cum. density test v4 :0.11947025680757961
dist. expected v5 :1.1776394130393308
cum. density train v5 :1
cum. density test v5 :0.11947025680758094
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -7.6680677510246937
creation time: 5.468
#id:541
a
← r (temp) [ -3.0084999998100099 -0.0099999997764825821 ]
( 93 105 112 102 103 88 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.52257442474365234 confidence bounds at 95%: [ 0.49223148822784424 , 0.55291736125946045 ] support: 0.1419408768415451 number of use :1041 number of events to predict :3586 number of events predicted: 509 dataset range :99988.185138863177
OLD: confidence: 0.54527556896209717 confidence bounds at 95%: [ 0.51465654373168945 , 0.57589459419250488 ] support: 0.14392887055873871 number of use :1016 number of events to predict :3599 number of events predicted: 518 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="541" score="-7.6680677510246937" creationTime="5.468" confidence = "0.52257442474365234" support = "0.1419408768415451" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "509" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.52257442474365234" basesupport = "0.1419408768415451" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "509" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.9985000000335273" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.54527556896209717" oldsupport = "0.14392887055873871" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "518" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.9985000000335273" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
386
similarId: *none*
base
Show/Hide
confidence: 0.5476493239402771
confidence bounds at 95%: [ 0.51287508010864258 , 0.58242356777191162 ]
support: 0.1310652494430542
number of use :787
number of events to predict :3586
number of events predicted: 470
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :53.50391089555216
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-395.54907664614052
dist. expected v3 :37.555969630957186
density v3 :2.1154288444504424e-307
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :37.42079278975659
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :37.420792789756277
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.54611653089523315
confidence bounds at 95%: [ 0.51212215423583984 , 0.58011090755462646 ]
support: 0.13753820955753326
number of use :824
number of events to predict :3599
number of events predicted: 495
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :54.73192604929352
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-382.81797752525858
dist. expected v3 :38.224633427017835
density v3 :2.0997542915430058e-318
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :38.076860826671634
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :38.076860826672174
cum. density train v5 :0
cum. density test v5 :0
parentId:
379 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -7.7941775449266588
creation time: 4.9370000000000003
#id:386
a
← r (temp) [ -3.5082499998155972 -0.0099999997764825821 ]
( 97 89 0 110 106 0 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.5476493239402771 confidence bounds at 95%: [ 0.51287508010864258 , 0.58242356777191162 ] support: 0.1310652494430542 number of use :787 number of events to predict :3586 number of events predicted: 470 dataset range :99988.185138863177
OLD: confidence: 0.54611653089523315 confidence bounds at 95%: [ 0.51212215423583984 , 0.58011090755462646 ] support: 0.13753820955753326 number of use :824 number of events to predict :3599 number of events predicted: 495 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="386" score="-7.7941775449266588" creationTime="4.9370000000000003" confidence = "0.5476493239402771" support = "0.1310652494430542" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "470" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.5476493239402771" basesupport = "0.1310652494430542" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "470" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.4982500000391146" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.54611653089523315" oldsupport = "0.13753820955753326" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "495" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.4982500000391146" testexpConfidence = "-1" testexpSupport = "-1" parentId="379" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="97"/><i v="89"/><i v="0"/><i v="110"/><i v="106"/><i v="0"/><i v="118"/></values>
<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="125"/><i v="124"/><i v="105"/><i v="104"/><i v="136"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
460
similarId: *none*
base
Show/Hide
confidence: 0.61453741788864136
confidence bounds at 95%: [ 0.56976675987243652 , 0.65930807590484619 ]
support: 0.086726158857345581
number of use :454
number of events to predict :3586
number of events predicted: 311
dataset range :99988.185138863177
rule range :3.4982500000391181
exp. confidence :0.11791271295582006
exp. support :0.015758720785927549
std. error exp. confidence :0.015135897252460622
std. error exp. support :0.0020797260202561237
dist. expected v1 :47.33894074770339
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.6304448144492828e-267
density ln. v2 :-425.454070147614
dist. expected v3 :32.877677409084711
density v3 :7.5406433662650627e-236
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :32.831641651163949
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :32.831641651163856
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.57274401187896729
confidence bounds at 95%: [ 0.5311356782913208 , 0.61435234546661377 ]
support: 0.098916366696357727
number of use :543
number of events to predict :3599
number of events predicted: 356
dataset range :99936.387513848851
rule range :3.4982500000391181
exp. confidence :0.11837136723035968
exp. support :0.018828410026729636
std. error exp. confidence :0.013863288473948904
std. error exp. support :0.0022656268489717368
dist. expected v1 :48.20558172330955
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :7.8930456868373103e-250
density ln. v2 :-310.94210206600434
dist. expected v3 :32.897978329287355
density v3 :3.8676780359316885e-236
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :32.834716881477576
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :32.834716881477789
cum. density train v5 :0
cum. density test v5 :0
parentId:
446 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -7.8631929410569112
creation time: 5.2039999999999997
#id:460
a
← r (temp) [ -3.5082499998155972 -1.009499999787657 ]
( 63 58 88 74 64 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
← r (temp) [ -1.991000000201165 -0.49025000021793019 ]
( 95 101 120 )
BASE: confidence: 0.61453741788864136 confidence bounds at 95%: [ 0.56976675987243652 , 0.65930807590484619 ] support: 0.086726158857345581 number of use :454 number of events to predict :3586 number of events predicted: 311 dataset range :99988.185138863177
OLD: confidence: 0.57274401187896729 confidence bounds at 95%: [ 0.5311356782913208 , 0.61435234546661377 ] support: 0.098916366696357727 number of use :543 number of events to predict :3599 number of events predicted: 356 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="460" score="-7.8631929410569112" creationTime="5.2039999999999997" confidence = "0.61453741788864136" support = "0.086726158857345581" number_of_use = "454" number_of_events_to_predict = "3586" number_of_events_predicted = "311" datasetrange = "99988.185138863177" rulerange = "3.4982500000391181" expConfidence = "0.11791271295582006" expSupport = "0.015758720785927549" baseconfidence = "0.61453741788864136" basesupport = "0.086726158857345581" basenumber_of_use = "454" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "311" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391181" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.015758720785927549" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.4987500000279401" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.57274401187896729" oldsupport = "0.098916366696357727" oldnumber_of_use = "543" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "356" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391181" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.018828410026729636" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.4987500000279401" testexpConfidence = "-1" testexpSupport = "-1" parentId="446" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="63"/><i v="58"/><i v="88"/><i v="74"/><i v="64"/></values>
<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="132"/><i v="131"/><i v="114"/><i v="112"/><i v="141"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="95"/><i v="101"/><i v="120"/></values>
<bounds><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
12
similarId: *none*
base
Show/Hide
confidence: 0.62400001287460327
confidence bounds at 95%: [ 0.59397780895233154 , 0.654022216796875 ]
support: 0.21639710664749146
number of use :1000
number of events to predict :3586
number of events predicted: 776
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :8.9609059163018898
density v1 :1.4603493972597793e-018
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.2886517780978103e-011
density ln. v2 :-24.652464367136862
dist. expected v3 :7.1626543425316429
density v3 :2.8871618692431532e-012
cum. density train v3 :7.9691808707593736e-009
cum. density test v3 :3.9845904353796868e-013
dist. expected v4 :6.8874807281930739
cum. density train v4 :5.7136516518063729e-008
cum. density test v4 :2.8568258869654528e-012
dist. expected v5 :6.8874807281931103
cum. density train v5 :5.7136516518063729e-008
cum. density test v5 :2.8568258869654528e-012
old
Show/Hide
confidence: 0.63599997758865356
confidence bounds at 95%: [ 0.60617810487747192 , 0.66582185029983521 ]
support: 0.22145040333271027
number of use :1000
number of events to predict :3599
number of events predicted: 797
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :9.9699474087582551
density v1 :1.0387393827558427e-022
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.6571279004137352e-013
density ln. v2 :-28.265515956963558
dist. expected v3 :7.8655992636969962
density v3 :1.46730425949785e-014
cum. density train v3 :3.5527136788005009e-011
cum. density test v3 :1.7763568394002505e-015
dist. expected v4 :7.563120111855671
cum. density train v4 :3.9523939676655573e-010
cum. density test v4 :1.9761969838327786e-014
dist. expected v5 :7.5631201118556302
cum. density train v5 :3.9523939676655573e-010
cum. density test v5 :1.9761969838327786e-014
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -7.8916384009499048
creation time: 3.4849999999999999
#id:12
a
← j (temp) [ -20 -1.009499999787657 ]
( 29 0 0 0 0 30 28 28 32 32 27 41 37 35 33 28 36 33 31 0 0 0 0 0 0 29 31 37 26 19 35 38 23 35 27 28 27 29 )
BASE: confidence: 0.62400001287460327 confidence bounds at 95%: [ 0.59397780895233154 , 0.654022216796875 ] support: 0.21639710664749146 number of use :1000 number of events to predict :3586 number of events predicted: 776 dataset range :99988.185138863177
OLD: confidence: 0.63599997758865356 confidence bounds at 95%: [ 0.60617810487747192 , 0.66582185029983521 ] support: 0.22145040333271027 number of use :1000 number of events to predict :3599 number of events predicted: 797 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="12" score="-7.8916384009499048" creationTime="3.4849999999999999" confidence = "0.62400001287460327" support = "0.21639710664749146" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "776" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.62400001287460327" basesupport = "0.21639710664749146" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "776" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.990500000212343" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.63599997758865356" oldsupport = "0.22145040333271027" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "797" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.990500000212343" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="29"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="30"/><i v="28"/><i v="28"/><i v="32"/><i v="32"/><i v="27"/><i v="41"/><i v="37"/><i v="35"/><i v="33"/><i v="28"/><i v="36"/><i v="33"/><i v="31"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="29"/><i v="31"/><i v="37"/><i v="26"/><i v="19"/><i v="35"/><i v="38"/><i v="23"/><i v="35"/><i v="27"/><i v="28"/><i v="27"/><i v="29"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
9
similarId: *none*
base
Show/Hide
confidence: 0.61400002241134644
confidence bounds at 95%: [ 0.58382594585418701 , 0.64417409896850586 ]
support: 0.22225320339202881
number of use :1000
number of events to predict :3586
number of events predicted: 797
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :9.0829929347874163
density v1 :4.8539747577061743e-019
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.1060616493651929e-007
density ln. v2 :-10.946488592578817
dist. expected v3 :6.6715272515750232
density v3 :8.6266785241243208e-011
cum. density train v3 :2.5453191998536795e-007
cum. density test v3 :1.2726597553580632e-011
dist. expected v4 :6.4152216727795954
cum. density train v4 :1.4127666859709009e-006
cum. density test v4 :7.0638384030985435e-011
dist. expected v5 :6.4152216727796292
cum. density train v5 :1.4127666859709009e-006
cum. density test v5 :7.0638384030985435e-011
old
Show/Hide
confidence: 0.61799997091293335
confidence bounds at 95%: [ 0.58788502216339111 , 0.64811491966247559 ]
support: 0.22061683237552643
number of use :1000
number of events to predict :3599
number of events predicted: 794
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :9.0222033259166672
density v1 :8.4157235439563043e-019
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.1858514857133287e-008
density ln. v2 :-14.458095345686081
dist. expected v3 :6.7947960372313796
density v3 :3.7616996729568233e-011
cum. density train v3 :1.0909939096581667e-007
cum. density test v3 :5.4549698091932441e-012
dist. expected v4 :6.5334956488728571
cum. density train v4 :6.4574991354149347e-007
cum. density test v4 :3.2287506002148803e-011
dist. expected v5 :6.5334956488728215
cum. density train v5 :6.4574991354149347e-007
cum. density test v5 :3.2287506002148803e-011
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -7.9028559950966333
creation time: 3.4769999999999999
#id:9
a
← j (temp) [ -20 -1.009499999787657 ]
( 29 40 23 34 41 30 28 28 32 32 27 41 37 35 33 28 36 33 31 30 0 0 0 0 0 0 0 0 0 0 35 38 23 35 27 28 27 29 )
BASE: confidence: 0.61400002241134644 confidence bounds at 95%: [ 0.58382594585418701 , 0.64417409896850586 ] support: 0.22225320339202881 number of use :1000 number of events to predict :3586 number of events predicted: 797 dataset range :99988.185138863177
OLD: confidence: 0.61799997091293335 confidence bounds at 95%: [ 0.58788502216339111 , 0.64811491966247559 ] support: 0.22061683237552643 number of use :1000 number of events to predict :3599 number of events predicted: 794 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="9" score="-7.9028559950966333" creationTime="3.4769999999999999" confidence = "0.61400002241134644" support = "0.22225320339202881" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "797" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.61400002241134644" basesupport = "0.22225320339202881" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "797" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.990500000212343" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.61799997091293335" oldsupport = "0.22061683237552643" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "794" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.990500000212343" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="29"/><i v="40"/><i v="23"/><i v="34"/><i v="41"/><i v="30"/><i v="28"/><i v="28"/><i v="32"/><i v="32"/><i v="27"/><i v="41"/><i v="37"/><i v="35"/><i v="33"/><i v="28"/><i v="36"/><i v="33"/><i v="31"/><i v="30"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="35"/><i v="38"/><i v="23"/><i v="35"/><i v="27"/><i v="28"/><i v="27"/><i v="29"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
391
similarId: *none*
base
Show/Hide
confidence: 0.48411691188812256
confidence bounds at 95%: [ 0.4492013156414032 , 0.51903247833251953 ]
support: 0.11210262030363083
number of use :787
number of events to predict :3586
number of events predicted: 402
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :44.654323858628516
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.3484654421568571e-233
density ln. v2 :-271.06939788631848
dist. expected v3 :31.938093542449369
density v3 :1.2636982593402921e-222
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :31.823137367932738
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :31.823137367932471
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.53519415855407715
confidence bounds at 95%: [ 0.50113892555236816 , 0.56924939155578613 ]
support: 0.13503751158714294
number of use :824
number of events to predict :3599
number of events predicted: 486
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :53.408502870520984
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :8.2824820223454001e-314
density ln. v2 :-345.56566652776286
dist. expected v3 :37.25409138411198
density v3 :1.6957025235136003e-302
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :37.11007080199505
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :37.110070801995583
cum. density train v5 :0
cum. density test v5 :0
parentId:
379 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.0403583802212175
creation time: 4.9489999999999998
#id:391
a
← r (temp) [ -2.5087499998044218 -0.50974999978206981 ]
( 120 110 106 103 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.48411691188812256 confidence bounds at 95%: [ 0.4492013156414032 , 0.51903247833251953 ] support: 0.11210262030363083 number of use :787 number of events to predict :3586 number of events predicted: 402 dataset range :99988.185138863177
OLD: confidence: 0.53519415855407715 confidence bounds at 95%: [ 0.50113892555236816 , 0.56924939155578613 ] support: 0.13503751158714294 number of use :824 number of events to predict :3599 number of events predicted: 486 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="391" score="-8.0403583802212175" creationTime="4.9489999999999998" confidence = "0.48411691188812256" support = "0.11210262030363083" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "402" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.48411691188812256" basesupport = "0.11210262030363083" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "402" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.999000000022352" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.53519415855407715" oldsupport = "0.13503751158714294" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "486" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.999000000022352" testexpConfidence = "-1" testexpSupport = "-1" parentId="379" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="120"/><i v="110"/><i v="106"/><i v="103"/></values>
<bounds><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="125"/><i v="124"/><i v="105"/><i v="104"/><i v="136"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
361
similarId:
438 ,
489
base
Show/Hide
confidence: 0.48411691188812256
confidence bounds at 95%: [ 0.4492013156414032 , 0.51903247833251953 ]
support: 0.11210262030363083
number of use :787
number of events to predict :3586
number of events predicted: 402
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :49.958966050590789
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :9.0014799595655377e-288
density ln. v2 :-324.68865046893131
dist. expected v3 :35.524903329152494
density v3 :3.6059446215031191e-275
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :35.416309657285865
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :35.416309657285275
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.53519415855407715
confidence bounds at 95%: [ 0.50113892555236816 , 0.56924939155578613 ]
support: 0.13503751158714294
number of use :824
number of events to predict :3599
number of events predicted: 486
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :59.401589863353799
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-411.79773945931339
dist. expected v3 :41.226413587900495
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :41.091037427887571
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :41.091037427887912
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.0403583802212175
creation time: 4.8090000000000002
#id:361
a
← r (temp) [ -2.5087499998044218 -0.50974999978206981 ]
( 120 110 106 103 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.48411691188812256 confidence bounds at 95%: [ 0.4492013156414032 , 0.51903247833251953 ] support: 0.11210262030363083 number of use :787 number of events to predict :3586 number of events predicted: 402 dataset range :99988.185138863177
OLD: confidence: 0.53519415855407715 confidence bounds at 95%: [ 0.50113892555236816 , 0.56924939155578613 ] support: 0.13503751158714294 number of use :824 number of events to predict :3599 number of events predicted: 486 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="361" score="-8.0403583802212175" creationTime="4.8090000000000002" confidence = "0.48411691188812256" support = "0.11210262030363083" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "402" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.48411691188812256" basesupport = "0.11210262030363083" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "402" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.999000000022352" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.53519415855407715" oldsupport = "0.13503751158714294" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "486" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.999000000022352" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="438" />
<i v="489" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="120"/><i v="110"/><i v="106"/><i v="103"/></values>
<bounds><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="111"/><i v="114"/><i v="93"/><i v="95"/><i v="121"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
27
similarId: *none*
base
Show/Hide
confidence: 0.56400001049041748
confidence bounds at 95%: [ 0.5332646369934082 , 0.59473538398742676 ]
support: 0.18209704756736755
number of use :1000
number of events to predict :3586
number of events predicted: 653
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :3.3061276849229153
density v1 :0.0016880543799593568
cum. density train v1 :0.99992231868343606
cum. density test v1 :0.00047303287393396509
density v2 :0.0045933023287463761
density ln. v2 :-12.607278053480185
dist. expected v3 :3.0792943900755434
density v3 :0.0034826370346492659
cum. density train v3 :0.99999999903731707
cum. density test v3 :0.0010375262499675575
dist. expected v4 :2.9609945913685083
cum. density train v4 :0.99999999999995304
cum. density test v4 :0.0015333054206905228
dist. expected v5 :2.9609945913685243
cum. density train v5 :0.99999999999995304
cum. density test v5 :0.0015333054206905228
old
Show/Hide
confidence: 0.54199999570846558
confidence bounds at 95%: [ 0.51111918687820435 , 0.57288080453872681 ]
support: 0.18171714246273041
number of use :1000
number of events to predict :3599
number of events predicted: 654
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :1.8211265637956218
density v1 :0.075987265352603556
cum. density train v1 :1
cum. density test v1 :0.034293754059720905
density v2 :34.700342928356726
density ln. v2 :-3.7780353480193969
dist. expected v3 :1.6962489660429263
density v3 :0.09465005591178606
cum. density train v3 :1
cum. density test v3 :0.044919341983840955
dist. expected v4 :1.6310180877132272
cum. density train v4 :1
cum. density test v4 :0.051443241696950359
dist. expected v5 :1.6310180877132183
cum. density train v5 :1
cum. density test v5 :0.051443241696951358
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -8.0946302551897453
creation time: 3.5110000000000001
#id:27
a
← j (temp) [ -13.00349999992177 -2.008999999798835 ]
( 33 28 36 33 31 30 31 41 41 34 48 29 31 37 26 19 35 38 23 35 27 28 )
BASE: confidence: 0.56400001049041748 confidence bounds at 95%: [ 0.5332646369934082 , 0.59473538398742676 ] support: 0.18209704756736755 number of use :1000 number of events to predict :3586 number of events predicted: 653 dataset range :99988.185138863177
OLD: confidence: 0.54199999570846558 confidence bounds at 95%: [ 0.51111918687820435 , 0.57288080453872681 ] support: 0.18171714246273041 number of use :1000 number of events to predict :3599 number of events predicted: 654 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="27" score="-8.0946302551897453" creationTime="3.5110000000000001" confidence = "0.56400001049041748" support = "0.18209704756736755" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "653" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.56400001049041748" basesupport = "0.18209704756736755" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "653" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "10.994500000122935" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.54199999570846558" oldsupport = "0.18171714246273041" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "654" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "10.994500000122935" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="33"/><i v="28"/><i v="36"/><i v="33"/><i v="31"/><i v="30"/><i v="31"/><i v="41"/><i v="41"/><i v="34"/><i v="48"/><i v="29"/><i v="31"/><i v="37"/><i v="26"/><i v="19"/><i v="35"/><i v="38"/><i v="23"/><i v="35"/><i v="27"/><i v="28"/></values>
<bounds><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
420
similarId: *none*
base
Show/Hide
confidence: 0.50825923681259155
confidence bounds at 95%: [ 0.47333076596260071 , 0.54318767786026001 ]
support: 0.11767986416816711
number of use :787
number of events to predict :3586
number of events predicted: 422
dataset range :99988.185138863177
rule range :4.4977500000502921
exp. confidence :0.1489734918855965
exp. support :0.03478294105612556
std. error exp. confidence :0.012692251716012746
std. error exp. support :0.003059782118249229
dist. expected v1 :39.183075254503244
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.7200611841638306e-187
density ln. v2 :-245.81088484670732
dist. expected v3 :28.374239118215613
density v3 :5.9733927445821214e-176
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :28.24048371251963
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :28.240483712519694
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.49635922908782959
confidence bounds at 95%: [ 0.46222022175788879 , 0.53049826622009277 ]
support: 0.11864406615495682
number of use :824
number of events to predict :3599
number of events predicted: 427
dataset range :99936.387513848851
rule range :4.4977500000502921
exp. confidence :0.14954238623096183
exp. support :0.036406626687261134
std. error exp. confidence :0.012423526311352722
std. error exp. support :0.0031220956148405505
dist. expected v1 :38.381382605893343
density v1 :5.1827486248746762e-321
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.3626608915581714e-182
density ln. v2 :-238.58738100678642
dist. expected v3 :27.96574172844651
density v3 :5.9402852712833555e-171
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :27.824193893379164
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :27.824193893379178
cum. density train v5 :0
cum. density test v5 :0
parentId:
416 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.1540563679680531
creation time: 5.0599999999999996
#id:420
a
← r (temp) [ -4.5077499998267747 -1.509249999793248 ]
( 19 48 97 89 120 110 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
BASE: confidence: 0.50825923681259155 confidence bounds at 95%: [ 0.47333076596260071 , 0.54318767786026001 ] support: 0.11767986416816711 number of use :787 number of events to predict :3586 number of events predicted: 422 dataset range :99988.185138863177
OLD: confidence: 0.49635922908782959 confidence bounds at 95%: [ 0.46222022175788879 , 0.53049826622009277 ] support: 0.11864406615495682 number of use :824 number of events to predict :3599 number of events predicted: 427 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="420" score="-8.1540563679680531" creationTime="5.0599999999999996" confidence = "0.50825923681259155" support = "0.11767986416816711" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "422" datasetrange = "99988.185138863177" rulerange = "4.4977500000502921" expConfidence = "0.1489734918855965" expSupport = "0.03478294105612556" baseconfidence = "0.50825923681259155" basesupport = "0.11767986416816711" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "422" basedatasetrange = "99988.185138863177" baserulerange = "4.4977500000502921" baseexpConfidence = "0.1489734918855965" baseexpSupport = "0.03478294105612556" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.9985000000335269" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.49635922908782959" oldsupport = "0.11864406615495682" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "427" olddatasetrange = "99936.387513848851" oldrulerange = "4.4977500000502921" oldexpConfidence = "0.14954238623096183" oldexpSupport = "0.036406626687261134" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.9985000000335269" testexpConfidence = "-1" testexpSupport = "-1" parentId="416" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="19"/><i v="48"/><i v="97"/><i v="89"/><i v="120"/><i v="110"/></values>
<bounds><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
25
similarId: *none*
base
Show/Hide
confidence: 0.55199998617172241
confidence bounds at 95%: [ 0.52117770910263062 , 0.58282226324081421 ]
support: 0.177077516913414
number of use :1000
number of events to predict :3586
number of events predicted: 635
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :2.5441757053527536
density v1 :0.015680246507242937
cum. density train v1 :1
cum. density test v1 :0.0054768221496461766
density v2 :0.076031553671995794
density ln. v2 :-9.3104309320576188
dist. expected v3 :2.2927474533743988
density v3 :0.028802762517838185
cum. density train v3 :1
cum. density test v3 :0.01093124434653836
dist. expected v4 :2.2046650786932291
cum. density train v4 :1
cum. density test v4 :0.013738755433636118
dist. expected v5 :2.2046650786932407
cum. density train v5 :1
cum. density test v5 :0.013738755433635674
old
Show/Hide
confidence: 0.52700001001358032
confidence bounds at 95%: [ 0.49605491757392883 , 0.5579451322555542 ]
support: 0.17671576142311096
number of use :1000
number of events to predict :3599
number of events predicted: 636
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :0.87099666562808375
density v1 :0.27300746796933556
cum. density train v1 :1
cum. density test v1 :0.19187794721766493
density v2 :241.41309031449563
density ln. v2 :-1.5044205117466989
dist. expected v3 :0.73363097832715229
density v3 :0.30481637301080927
cum. density train v3 :1
cum. density test v3 :0.23158676861062266
dist. expected v4 :0.70541849652514699
cum. density train v4 :1
cum. density test v4 :0.24027484911945773
dist. expected v5 :0.7054184965251431
cum. density train v5 :1
cum. density test v5 :0.24027484911945907
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -8.1900398660196956
creation time: 3.5070000000000001
#id:25
a
← j (temp) [ -13.00349999992177 -2.5087499998044218 ]
( 33 28 36 33 31 30 31 41 41 34 48 29 31 37 26 19 35 38 23 35 27 )
BASE: confidence: 0.55199998617172241 confidence bounds at 95%: [ 0.52117770910263062 , 0.58282226324081421 ] support: 0.177077516913414 number of use :1000 number of events to predict :3586 number of events predicted: 635 dataset range :99988.185138863177
OLD: confidence: 0.52700001001358032 confidence bounds at 95%: [ 0.49605491757392883 , 0.5579451322555542 ] support: 0.17671576142311096 number of use :1000 number of events to predict :3599 number of events predicted: 636 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="25" score="-8.1900398660196956" creationTime="3.5070000000000001" confidence = "0.55199998617172241" support = "0.177077516913414" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "635" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.55199998617172241" basesupport = "0.177077516913414" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "635" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "10.494750000117348" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.52700001001358032" oldsupport = "0.17671576142311096" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "636" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "10.494750000117348" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="33"/><i v="28"/><i v="36"/><i v="33"/><i v="31"/><i v="30"/><i v="31"/><i v="41"/><i v="41"/><i v="34"/><i v="48"/><i v="29"/><i v="31"/><i v="37"/><i v="26"/><i v="19"/><i v="35"/><i v="38"/><i v="23"/><i v="35"/><i v="27"/></values>
<bounds><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
394
similarId: *none*
base
Show/Hide
confidence: 0.4637865424156189
confidence bounds at 95%: [ 0.42894506454467773 , 0.49862802028656006 ]
support: 0.11098717153072357
number of use :787
number of events to predict :3586
number of events predicted: 398
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :43.11516662558364
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.0886358167439229e-202
density ln. v2 :-186.72769887229458
dist. expected v3 :30.230575935749101
density v3 :1.4213885828684731e-199
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :30.121765703905133
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :30.121765703904881
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.53883492946624756
confidence bounds at 95%: [ 0.50479817390441895 , 0.57287168502807617 ]
support: 0.1369825005531311
number of use :824
number of events to predict :3599
number of events predicted: 493
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :54.13925068882854
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.1052483015247604e-318
density ln. v2 :-342.70978565867068
dist. expected v3 :37.599088623367606
density v3 :4.18512869530837e-308
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :37.453734316513874
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :37.453734316514407
cum. density train v5 :0
cum. density test v5 :0
parentId:
379 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.2319668091762956
creation time: 4.9610000000000003
#id:394
a
← r (temp) [ -2.008999999798835 -0.0099999997764825821 ]
( 110 106 103 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.4637865424156189 confidence bounds at 95%: [ 0.42894506454467773 , 0.49862802028656006 ] support: 0.11098717153072357 number of use :787 number of events to predict :3586 number of events predicted: 398 dataset range :99988.185138863177
OLD: confidence: 0.53883492946624756 confidence bounds at 95%: [ 0.50479817390441895 , 0.57287168502807617 ] support: 0.1369825005531311 number of use :824 number of events to predict :3599 number of events predicted: 493 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="394" score="-8.2319668091762956" creationTime="4.9610000000000003" confidence = "0.4637865424156189" support = "0.11098717153072357" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "398" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.4637865424156189" basesupport = "0.11098717153072357" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "398" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223525" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.53883492946624756" oldsupport = "0.1369825005531311" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "493" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223525" testexpConfidence = "-1" testexpSupport = "-1" parentId="379" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="110"/><i v="106"/><i v="103"/><i v="118"/></values>
<bounds><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="125"/><i v="124"/><i v="105"/><i v="104"/><i v="136"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
367
similarId:
398 ,
403 ,
492
base
Show/Hide
confidence: 0.4637865424156189
confidence bounds at 95%: [ 0.42894506454467773 , 0.49862802028656006 ]
support: 0.11098717153072357
number of use :787
number of events to predict :3586
number of events predicted: 398
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :48.320943243628776
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.2524641166686218e-251
density ln. v2 :-224.21243270201799
dist. expected v3 :33.70504001001666
density v3 :8.2260297872100936e-248
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :33.60200935512124
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :33.602009355120686
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.53883492946624756
confidence bounds at 95%: [ 0.50479817390441895 , 0.57287168502807617 ]
support: 0.1369825005531311
number of use :824
number of events to predict :3599
number of events predicted: 493
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :60.187260018907217
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-408.26368031862722
dist. expected v3 :41.594089614223094
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :41.45750610765149
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :41.457506107651831
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.2319668091762956
creation time: 4.8300000000000001
#id:367
a
← r (temp) [ -2.008999999798835 -0.0099999997764825821 ]
( 110 106 103 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.4637865424156189 confidence bounds at 95%: [ 0.42894506454467773 , 0.49862802028656006 ] support: 0.11098717153072357 number of use :787 number of events to predict :3586 number of events predicted: 398 dataset range :99988.185138863177
OLD: confidence: 0.53883492946624756 confidence bounds at 95%: [ 0.50479817390441895 , 0.57287168502807617 ] support: 0.1369825005531311 number of use :824 number of events to predict :3599 number of events predicted: 493 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="367" score="-8.2319668091762956" creationTime="4.8300000000000001" confidence = "0.4637865424156189" support = "0.11098717153072357" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "398" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.4637865424156189" basesupport = "0.11098717153072357" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "398" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223525" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.53883492946624756" oldsupport = "0.1369825005531311" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "493" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223525" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="398" />
<i v="403" />
<i v="492" />
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<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="110"/><i v="106"/><i v="103"/><i v="118"/></values>
<bounds><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
536
similarId: *none*
base
Show/Hide
confidence: 0.4937559962272644
confidence bounds at 95%: [ 0.46338444948196411 , 0.5241275429725647 ]
support: 0.13469046354293823
number of use :1041
number of events to predict :3586
number of events predicted: 483
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :5.520777252196e-008
density ln. v2 :7.9601945697091114
dist. expected v3 :-1.9928922419401442
density v3 :0.054762573855212868
cum. density train v3 :1
cum. density test v3 :0.97686344515849921
dist. expected v4 :-1.9125401096480235
cum. density train v4 :1
cum. density test v4 :0.97209659031932727
dist. expected v5 :-1.9125401096480337
cum. density train v5 :1
cum. density test v5 :0.97209659031932782
old
Show/Hide
confidence: 0.5039370059967041
confidence bounds at 95%: [ 0.47319263219833374 , 0.53468137979507446 ]
support: 0.13503751158714294
number of use :1016
number of events to predict :3599
number of events predicted: 486
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :6.3328101080200526e-008
density ln. v2 :4.0866042827203604
dist. expected v3 :-1.36421279998666
density v3 :0.15731945195945049
cum. density train v3 :1
cum. density test v3 :0.91374963865803227
dist. expected v4 :-1.3107271314449789
cum. density train v4 :1
cum. density test v4 :0.90502494843294534
dist. expected v5 :-1.3107271314449718
cum. density train v5 :1
cum. density test v5 :0.90502494843294423
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.2875159520165145
creation time: 5.4480000000000004
#id:536
a
← r (temp) [ -4.0079999998211857 -0.0099999997764825821 ]
( 76 116 93 0 0 102 103 88 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.4937559962272644 confidence bounds at 95%: [ 0.46338444948196411 , 0.5241275429725647 ] support: 0.13469046354293823 number of use :1041 number of events to predict :3586 number of events predicted: 483 dataset range :99988.185138863177
OLD: confidence: 0.5039370059967041 confidence bounds at 95%: [ 0.47319263219833374 , 0.53468137979507446 ] support: 0.13503751158714294 number of use :1016 number of events to predict :3599 number of events predicted: 486 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="536" score="-8.2875159520165145" creationTime="5.4480000000000004" confidence = "0.4937559962272644" support = "0.13469046354293823" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "483" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.4937559962272644" basesupport = "0.13469046354293823" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "483" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.9980000000447031" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.5039370059967041" oldsupport = "0.13503751158714294" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "486" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.9980000000447031" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="76"/><i v="116"/><i v="93"/><i v="0"/><i v="0"/><i v="102"/><i v="103"/><i v="88"/></values>
<bounds><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="53"/><i v="53"/><i v="50"/><i v="45"/><i v="52"/><i v="45"/><i v="56"/><i v="57"/><i v="43"/><i v="50"/><i v="48"/><i v="47"/><i v="45"/><i v="39"/><i v="51"/><i v="47"/><i v="55"/><i v="47"/><i v="44"/><i v="48"/></values>
<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
436
similarId:
486
base
Show/Hide
confidence: 0.46124523878097534
confidence bounds at 95%: [ 0.42641711235046387 , 0.49607336521148682 ]
support: 0.1076408252120018
number of use :787
number of events to predict :3586
number of events predicted: 386
dataset range :99988.185138863177
rule range :4.4977500000502921
exp. confidence :0.1489734918855965
exp. support :0.03478294105612556
std. error exp. confidence :0.012692251716012746
std. error exp. support :0.003059782118249229
dist. expected v1 :34.239011281468237
density v1 :1.0890583393705026e-255
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.4653825471225933e-137
density ln. v2 :-155.0890072453048
dist. expected v3 :24.674690006285193
density v3 :2.4712284665246917e-133
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :24.558374176335956
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :24.558374176336013
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.48179611563682556
confidence bounds at 95%: [ 0.4476788341999054 , 0.51591336727142334 ]
support: 0.12003334611654282
number of use :824
number of events to predict :3599
number of events predicted: 432
dataset range :99936.387513848851
rule range :4.4977500000502921
exp. confidence :0.14954238623096183
exp. support :0.036406626687261134
std. error exp. confidence :0.012423526311352722
std. error exp. support :0.0031220956148405505
dist. expected v1 :37.850984496804898
density v1 :3.1239455187832241e-312
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.5474607319349352e-161
density ln. v2 :-168.73133334742937
dist. expected v3 :26.876235199669459
density v3 :5.6040912193143294e-158
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :26.740201872028297
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :26.740201872028312
cum. density train v5 :0
cum. density test v5 :0
parentId:
416 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.3151739396084245
creation time: 5.1079999999999997
#id:436
a
← r (temp) [ -3.0084999998100099 -1.009499999787657 ]
( 89 120 110 106 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
BASE: confidence: 0.46124523878097534 confidence bounds at 95%: [ 0.42641711235046387 , 0.49607336521148682 ] support: 0.1076408252120018 number of use :787 number of events to predict :3586 number of events predicted: 386 dataset range :99988.185138863177
OLD: confidence: 0.48179611563682556 confidence bounds at 95%: [ 0.4476788341999054 , 0.51591336727142334 ] support: 0.12003334611654282 number of use :824 number of events to predict :3599 number of events predicted: 432 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="436" score="-8.3151739396084245" creationTime="5.1079999999999997" confidence = "0.46124523878097534" support = "0.1076408252120018" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "386" datasetrange = "99988.185138863177" rulerange = "4.4977500000502921" expConfidence = "0.1489734918855965" expSupport = "0.03478294105612556" baseconfidence = "0.46124523878097534" basesupport = "0.1076408252120018" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "386" basedatasetrange = "99988.185138863177" baserulerange = "4.4977500000502921" baseexpConfidence = "0.1489734918855965" baseexpSupport = "0.03478294105612556" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223529" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.48179611563682556" oldsupport = "0.12003334611654282" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "432" olddatasetrange = "99936.387513848851" oldrulerange = "4.4977500000502921" oldexpConfidence = "0.14954238623096183" oldexpSupport = "0.036406626687261134" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223529" testexpConfidence = "-1" testexpSupport = "-1" parentId="416" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="486" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="89"/><i v="120"/><i v="110"/><i v="106"/></values>
<bounds><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="132"/><i v="131"/><i v="114"/><i v="112"/><i v="141"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
543
similarId: *none*
base
Show/Hide
confidence: 0.45148894190788269
confidence bounds at 95%: [ 0.42125833034515381 , 0.48171955347061157 ]
support: 0.12493028491735458
number of use :1041
number of events to predict :3586
number of events predicted: 448
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :4.3383347418093827e-007
density ln. v2 :20.914370340876555
dist. expected v3 :-4.6777313558534113
density v3 :7.0708924747396562e-006
cum. density train v3 :1
cum. density test v3 :0.99999854802818977
dist. expected v4 :-4.4891282388245548
cum. density train v4 :1
cum. density test v4 :0.99999642098683195
dist. expected v5 :-4.4891282388245788
cum. density train v5 :1
cum. density test v5 :0.99999642098683195
old
Show/Hide
confidence: 0.45374014973640442
confidence bounds at 95%: [ 0.4231266975402832 , 0.48435360193252563 ]
support: 0.12114476412534714
number of use :1016
number of events to predict :3599
number of events predicted: 436
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :2.5462571502668685e-007
density ln. v2 :21.018928755025289
dist. expected v3 :-4.5607261295797219
density v3 :1.2139451583184938e-005
cum. density train v3 :1
cum. density test v3 :0.99999744862500128
dist. expected v4 :-4.3819171592501149
cum. density train v4 :1
cum. density test v4 :0.9999941133393524
dist. expected v5 :-4.381917159250091
cum. density train v5 :1
cum. density test v5 :0.9999941133393524
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.3259218228928482
creation time: 5.476
#id:543
a
← r (temp) [ -2.5087499998044218 -0.0099999997764825821 ]
( 105 112 102 103 88 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.45148894190788269 confidence bounds at 95%: [ 0.42125833034515381 , 0.48171955347061157 ] support: 0.12493028491735458 number of use :1041 number of events to predict :3586 number of events predicted: 448 dataset range :99988.185138863177
OLD: confidence: 0.45374014973640442 confidence bounds at 95%: [ 0.4231266975402832 , 0.48435360193252563 ] support: 0.12114476412534714 number of use :1016 number of events to predict :3599 number of events predicted: 436 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="543" score="-8.3259218228928482" creationTime="5.476" confidence = "0.45148894190788269" support = "0.12493028491735458" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "448" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.45148894190788269" basesupport = "0.12493028491735458" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "448" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.4987500000279392" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.45374014973640442" oldsupport = "0.12114476412534714" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "436" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.4987500000279392" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
729
similarId: *none*
base
Show/Hide
confidence: 0.49439999461174011
confidence bounds at 95%: [ 0.45520246028900146 , 0.53359752893447876 ]
support: 0.092582263052463531
number of use :625
number of events to predict :3586
number of events predicted: 332
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.4210861024155035
density ln. v2 :3.1518539012666609
dist. expected v3 :-1.054384115723711
density v3 :0.22882415215034474
cum. density train v3 :1
cum. density test v3 :0.85414642430894305
dist. expected v4 :-1.0335594868586575
cum. density train v4 :1
cum. density test v4 :0.84932890384894488
dist. expected v5 :-1.0335594868586604
cum. density train v5 :1
cum. density test v5 :0.84932890384894555
old
Show/Hide
confidence: 0.5468975305557251
confidence bounds at 95%: [ 0.50983452796936035 , 0.58396053314208984 ]
support: 0.11669908463954926
number of use :693
number of events to predict :3599
number of events predicted: 420
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :1.7730426004067967
density v1 :0.082845440929399744
cum. density train v1 :1
cum. density test v1 :0.038110777086108882
density v2 :0.018513348112658957
density ln. v2 :-7.8212291879897045
dist. expected v3 :1.5849416652595982
density v3 :0.11361286006069675
cum. density train v3 :1
cum. density test v3 :0.056489798619434817
dist. expected v4 :1.5482176636872913
cum. density train v4 :1
cum. density test v4 :0.060784965458547724
dist. expected v5 :1.548217663687286
cum. density train v5 :1
cum. density test v5 :0.06078496545854839
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.3389185227383074
creation time: 6.0780000000000003
#id:729
a
← r (temp) [ -2.5087499998044218 -0.50974999978206981 ]
( 111 86 86 78 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.49439999461174011 confidence bounds at 95%: [ 0.45520246028900146 , 0.53359752893447876 ] support: 0.092582263052463531 number of use :625 number of events to predict :3586 number of events predicted: 332 dataset range :99988.185138863177
OLD: confidence: 0.5468975305557251 confidence bounds at 95%: [ 0.50983452796936035 , 0.58396053314208984 ] support: 0.11669908463954926 number of use :693 number of events to predict :3599 number of events predicted: 420 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="729" score="-8.3389185227383074" creationTime="6.0780000000000003" confidence = "0.49439999461174011" support = "0.092582263052463531" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "332" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.49439999461174011" basesupport = "0.092582263052463531" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "332" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.999000000022352" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.5468975305557251" oldsupport = "0.11669908463954926" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "420" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.999000000022352" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
715
similarId: *none*
base
Show/Hide
confidence: 0.67839998006820679
confidence bounds at 95%: [ 0.64178007841110229 , 0.71501988172531128 ]
support: 0.15532626211643219
number of use :625
number of events to predict :3586
number of events predicted: 557
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :10.908980000685837
density v1 :5.7427411577428813e-027
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.4696900025996662e-017
density ln. v2 :-37.312394706102026
dist. expected v3 :8.4076769966270799
density v3 :1.7823036534448298e-016
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :8.2416210494053885
cum. density train v4 :2.2204460492503131e-012
cum. density test v4 :1.1102230246251565e-016
dist. expected v5 :8.2416210494054116
cum. density train v5 :2.2204460492503131e-012
cum. density test v5 :1.1102230246251565e-016
old
Show/Hide
confidence: 0.65223664045333862
confidence bounds at 95%: [ 0.61677700281143188 , 0.68769627809524536 ]
support: 0.16560155153274536
number of use :693
number of events to predict :3599
number of events predicted: 596
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :9.7637516273191931
density v1 :7.9447441170153558e-022
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.5169421436938752e-011
density ln. v2 :-24.114228593155673
dist. expected v3 :7.4128290986657701
density v3 :4.6629581958269981e-013
cum. density train v3 :1.2456702336294256e-009
cum. density test v3 :6.2283511681471282e-014
dist. expected v4 :7.2410696242058341
cum. density train v4 :4.4853010194856324e-009
cum. density test v4 :2.2426505097428162e-013
dist. expected v5 :7.2410696242058084
cum. density train v5 :4.4853010194856324e-009
cum. density test v5 :2.2426505097428162e-013
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.3410747483922645
creation time: 6.04
#id:715
a
← r (temp) [ -20 -0.0099999997764825821 ]
( 11 4 18 8 17 6 8 16 10 12 8 11 21 14 11 11 16 12 8 11 16 13 5 12 10 10 6 6 10 7 11 16 39 79 76 0 0 0 0 91 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.67839998006820679 confidence bounds at 95%: [ 0.64178007841110229 , 0.71501988172531128 ] support: 0.15532626211643219 number of use :625 number of events to predict :3586 number of events predicted: 557 dataset range :99988.185138863177
OLD: confidence: 0.65223664045333862 confidence bounds at 95%: [ 0.61677700281143188 , 0.68769627809524536 ] support: 0.16560155153274536 number of use :693 number of events to predict :3599 number of events predicted: 596 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="715" score="-8.3410747483922645" creationTime="6.04" confidence = "0.67839998006820679" support = "0.15532626211643219" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "557" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.67839998006820679" basesupport = "0.15532626211643219" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "557" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "19.990000000223517" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.65223664045333862" oldsupport = "0.16560155153274536" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "596" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "19.990000000223517" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
16
similarId: *none*
base
Show/Hide
confidence: 0.57599997520446777
confidence bounds at 95%: [ 0.54536974430084229 , 0.60663020610809326 ]
support: 0.19074177742004395
number of use :1000
number of events to predict :3586
number of events predicted: 684
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :4.323602129800177
density v1 :3.4806506453305893e-005
cum. density train v1 :0.1423987315457812
cum. density test v1 :7.6807709823434323e-006
density v2 :0.001142717125036982
density ln. v2 :-13.929354475975108
dist. expected v3 :3.9251779596166076
density v3 :0.00018001875095368484
cum. density train v3 :0.57980447410582014
cum. density test v3 :4.3350817235721095e-005
dist. expected v4 :3.7743811523972295
cum. density train v4 :0.79903714372190571
cum. density test v4 :8.0228540650262303e-005
dist. expected v5 :3.7743811523972495
cum. density train v5 :0.79903714372190571
cum. density test v5 :8.0228540650262303e-005
old
Show/Hide
confidence: 0.58899998664855957
confidence bounds at 95%: [ 0.55850458145141602 , 0.61949539184570313 ]
support: 0.19616560637950897
number of use :1000
number of events to predict :3599
number of events predicted: 706
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :5.3226788039552018
density v1 :2.8114554211153484e-007
cum. density train v1 :0.0010241515035807058
cum. density test v1 :5.1233813969098208e-008
density v2 :3.042617144911316e-005
density ln. v2 :-16.972901696038736
dist. expected v3 :4.6925032114136576
density v3 :6.5980808747513583e-006
cum. density train v3 :0.026657527343890708
cum. density test v3 :1.3509632232899804e-006
dist. expected v4 :4.5120485068430662
cum. density train v4 :0.062243174364212894
cum. density test v4 :3.2132254030869944e-006
dist. expected v5 :4.5120485068430414
cum. density train v5 :0.062243174364212894
cum. density test v5 :3.2132254030869944e-006
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -8.3819606130767017
creation time: 3.4940000000000002
#id:16
a
← j (temp) [ -20 -2.5087499998044218 ]
( 29 40 0 0 0 30 28 28 32 32 27 41 37 35 33 28 0 33 31 0 31 41 0 0 0 29 31 37 26 0 35 0 0 0 27 )
BASE: confidence: 0.57599997520446777 confidence bounds at 95%: [ 0.54536974430084229 , 0.60663020610809326 ] support: 0.19074177742004395 number of use :1000 number of events to predict :3586 number of events predicted: 684 dataset range :99988.185138863177
OLD: confidence: 0.58899998664855957 confidence bounds at 95%: [ 0.55850458145141602 , 0.61949539184570313 ] support: 0.19616560637950897 number of use :1000 number of events to predict :3599 number of events predicted: 706 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="16" score="-8.3819606130767017" creationTime="3.4940000000000002" confidence = "0.57599997520446777" support = "0.19074177742004395" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "684" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.57599997520446777" basesupport = "0.19074177742004395" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "684" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "17.491250000195578" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.58899998664855957" oldsupport = "0.19616560637950897" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "706" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "17.491250000195578" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
430
similarId: *none*
base
Show/Hide
confidence: 0.45235070586204529
confidence bounds at 95%: [ 0.41757646203041077 , 0.48712494969367981 ]
support: 0.10485219955444336
number of use :787
number of events to predict :3586
number of events predicted: 376
dataset range :99988.185138863177
rule range :4.4977500000502921
exp. confidence :0.1489734918855965
exp. support :0.03478294105612556
std. error exp. confidence :0.012692251716012746
std. error exp. support :0.003059782118249229
dist. expected v1 :33.102050265376448
density v1 :4.5998919156345254e-239
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.7192785301864285e-129
density ln. v2 :-147.90199767825567
dist. expected v3 :23.960104575185206
density v3 :8.7013445277507654e-126
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :23.847157281880886
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :23.847157281880939
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.43810680508613586
confidence bounds at 95%: [ 0.40422946214675903 , 0.4719841480255127 ]
support: 0.10391775518655777
number of use :824
number of events to predict :3599
number of events predicted: 374
dataset range :99936.387513848851
rule range :4.4977500000502921
exp. confidence :0.14954238623096183
exp. support :0.036406626687261134
std. error exp. confidence :0.012423526311352722
std. error exp. support :0.0031220956148405505
dist. expected v1 :31.734649660769794
density v1 :8.2135676597080855e-220
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.2518778121290837e-123
density ln. v2 :-146.72539576895019
dist. expected v3 :23.252534119648672
density v3 :1.5619436065112645e-118
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :23.13484205567892
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :23.134842055678934
cum. density train v5 :0
cum. density test v5 :0
parentId:
416 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.4455588616360107
creation time: 5.0880000000000001
#id:430
a
← r (temp) [ -3.5082499998155972 -1.509249999793248 ]
( 97 89 120 110 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
BASE: confidence: 0.45235070586204529 confidence bounds at 95%: [ 0.41757646203041077 , 0.48712494969367981 ] support: 0.10485219955444336 number of use :787 number of events to predict :3586 number of events predicted: 376 dataset range :99988.185138863177
OLD: confidence: 0.43810680508613586 confidence bounds at 95%: [ 0.40422946214675903 , 0.4719841480255127 ] support: 0.10391775518655777 number of use :824 number of events to predict :3599 number of events predicted: 374 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="430" score="-8.4455588616360107" creationTime="5.0880000000000001" confidence = "0.45235070586204529" support = "0.10485219955444336" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "376" datasetrange = "99988.185138863177" rulerange = "4.4977500000502921" expConfidence = "0.1489734918855965" expSupport = "0.03478294105612556" baseconfidence = "0.45235070586204529" basesupport = "0.10485219955444336" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "376" basedatasetrange = "99988.185138863177" baserulerange = "4.4977500000502921" baseexpConfidence = "0.1489734918855965" baseexpSupport = "0.03478294105612556" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223491" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43810680508613586" oldsupport = "0.10391775518655777" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "374" olddatasetrange = "99936.387513848851" oldrulerange = "4.4977500000502921" oldexpConfidence = "0.14954238623096183" oldexpSupport = "0.036406626687261134" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223491" testexpConfidence = "-1" testexpSupport = "-1" parentId="416" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
63
similarId:
69 ,
72 ,
76 ,
80
base
Show/Hide
confidence: 0.87684726715087891
confidence bounds at 95%: [ 0.83164167404174805 , 0.92205286026000977 ]
support: 0.087562747299671173
number of use :203
number of events to predict :3586
number of events predicted: 314
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.039775869445696443
std. error exp. confidence :0.035083372367853513
std. error exp. support :0.0032635555244750571
dist. expected v1 :17.963335410357701
density v1 :3.400401581547067e-071
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.5153127055844946e-033
density ln. v2 :-77.277589098633172
dist. expected v3 :10.449207764201466
density v3 :7.7890378545116791e-025
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :10.420946629025931
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :10.420946629025936
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.83886253833770752
confidence bounds at 95%: [ 0.78925377130508423 , 0.88847130537033081 ]
support: 0.086968600749969482
number of use :211
number of events to predict :3599
number of events predicted: 313
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.041331532025280615
std. error exp. confidence :0.034409361896585826
std. error exp. support :0.0033180585855830573
dist. expected v1 :16.69528149086246
density v1 :1.1883194829929088e-061
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.426572682911384e-021
density ln. v2 :-41.433530895314348
dist. expected v3 :9.5084697898816763
density v3 :9.2984669931368333e-021
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :9.4808199852309887
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :9.4808199852309833
cum. density train v5 :0
cum. density test v5 :0
parentId:
1 [Interactive]
creation: Add condition [ gain:0.0074173054387586257 impList:1 first:1 loop:1 ]
number of condition: 2
score: -8.4610360101415321
creation time: 4.1050000000000004
#id:63
a
← j (temp) [ -20 -0.0099999997764825821 ]
( 6 10 8 13 8 4 4 6 4 8 2 14 3 7 8 5 6 6 8 7 6 12 8 9 8 4 8 10 2 4 8 12 7 13 9 12 12 14 26 15 )
← r (temp) [ -3.992000000178813 -0.49025000021793019 ]
( 19 34 19 26 24 40 32 )
BASE: confidence: 0.87684726715087891 confidence bounds at 95%: [ 0.83164167404174805 , 0.92205286026000977 ] support: 0.087562747299671173 number of use :203 number of events to predict :3586 number of events predicted: 314 dataset range :99988.185138863177
OLD: confidence: 0.83886253833770752 confidence bounds at 95%: [ 0.78925377130508423 , 0.88847130537033081 ] support: 0.086968600749969482 number of use :211 number of events to predict :3599 number of events predicted: 313 dataset range :99936.387513848851
Add condition [ gain:0.0074173054387586257 impList:1 first:1 loop:1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="63" score="-8.4610360101415321" creationTime="4.1050000000000004" confidence = "0.87684726715087891" support = "0.087562747299671173" number_of_use = "203" number_of_events_to_predict = "3586" number_of_events_predicted = "314" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.039775869445696443" baseconfidence = "0.87684726715087891" basesupport = "0.087562747299671173" basenumber_of_use = "203" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "314" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.039775869445696443" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "19.990000000223517" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.83886253833770752" oldsupport = "0.086968600749969482" oldnumber_of_use = "211" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "313" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.041331532025280615" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "19.990000000223517" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="0.0074173054387586257" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="1" threathold="-1" >
<similarId>
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<i v="72" />
<i v="76" />
<i v="80" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
79
similarId: *none*
base
Show/Hide
confidence: 0.87684726715087891
confidence bounds at 95%: [ 0.83164167404174805 , 0.92205286026000977 ]
support: 0.087005019187927246
number of use :203
number of events to predict :3586
number of events predicted: 312
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.039775869445696443
std. error exp. confidence :0.035083372367853513
std. error exp. support :0.0032635555244750571
dist. expected v1 :17.824306760065625
density v1 :4.0921161728276045e-070
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.2507025349516183e-033
density ln. v2 :-79.055860657051426
dist. expected v3 :10.448310712555335
density v3 :7.8623883263296257e-025
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :10.420052003563528
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :10.420052003563532
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.82938390970230103
confidence bounds at 95%: [ 0.77862614393234253 , 0.88014167547225952 ]
support: 0.08502361923456192
number of use :211
number of events to predict :3599
number of events predicted: 306
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.041331532025280615
std. error exp. confidence :0.034409361896585826
std. error exp. support :0.0033180585855830573
dist. expected v1 :16.056568346096686
density v1 :4.1442351209095833e-057
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.744398225265685e-019
density ln. v2 :-37.261825482695869
dist. expected v3 :9.2306442609971011
density v3 :1.2558108971826626e-019
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :9.2038023488643876
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :9.2038023488643823
cum. density train v5 :0
cum. density test v5 :0
parentId:
63 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.4738152459813758
creation time: 4.1289999999999996
#id:79
a
← j (temp) [ -20 -0.0099999997764825821 ]
( 6 10 8 13 8 4 4 6 4 8 2 14 3 7 8 5 6 6 8 7 6 12 8 9 8 4 8 10 0 4 8 12 7 13 9 12 12 14 26 15 )
← r (temp) [ -3.992000000178813 -0.49025000021793019 ]
( 19 34 19 26 24 40 32 )
BASE: confidence: 0.87684726715087891 confidence bounds at 95%: [ 0.83164167404174805 , 0.92205286026000977 ] support: 0.087005019187927246 number of use :203 number of events to predict :3586 number of events predicted: 312 dataset range :99988.185138863177
OLD: confidence: 0.82938390970230103 confidence bounds at 95%: [ 0.77862614393234253 , 0.88014167547225952 ] support: 0.08502361923456192 number of use :211 number of events to predict :3599 number of events predicted: 306 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="79" score="-8.4738152459813758" creationTime="4.1289999999999996" confidence = "0.87684726715087891" support = "0.087005019187927246" number_of_use = "203" number_of_events_to_predict = "3586" number_of_events_predicted = "312" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.039775869445696443" baseconfidence = "0.87684726715087891" basesupport = "0.087005019187927246" basenumber_of_use = "203" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "312" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.039775869445696443" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "19.990000000223517" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.82938390970230103" oldsupport = "0.08502361923456192" oldnumber_of_use = "211" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "306" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.041331532025280615" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "19.990000000223517" testexpConfidence = "-1" testexpSupport = "-1" parentId="63" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
495
similarId:
501
base
Show/Hide
confidence: 0.57268720865249634
confidence bounds at 95%: [ 0.52718210220336914 , 0.61819231510162354 ]
support: 0.080033466219902039
number of use :454
number of events to predict :3586
number of events predicted: 287
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.01352273777208457
std. error exp. confidence :0.014201512157547766
std. error exp. support :0.0019287267787216967
dist. expected v1 :47.831377670519387
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :7.7508418186130142e-264
density ln. v2 :-378.40242358705592
dist. expected v3 :33.20695597683217
density v3 :1.4198073050434368e-240
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :33.167540315510649
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :33.16754031551045
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.49723756313323975
confidence bounds at 95%: [ 0.45518237352371216 , 0.53929275274276733 ]
support: 0.0825229212641716
number of use :543
number of events to predict :3599
number of events predicted: 297
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.016160458990898241
std. error exp. confidence :0.013008180866054502
std. error exp. support :0.0021018322863014783
dist. expected v1 :43.799378722815234
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.1069778477321099e-209
density ln. v2 :-231.43194133969652
dist. expected v3 :30.433031046303622
density v3 :3.060446801760377e-202
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :30.383400862445203
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :30.383400862445324
cum. density train v5 :0
cum. density test v5 :0
parentId:
420 [Interactive]
creation: Add condition [ gain:0.011313064714358671 impList:2 first:1 loop:18 ]
number of condition: 3
score: -8.4882568455681504
creation time: 5.3380000000000001
#id:495
a
← r (temp) [ -4.5077499998267747 -1.509249999793248 ]
( 14 30 63 58 88 74 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
← r (temp) [ -1.991000000201165 -0.49025000021793019 ]
( 79 82 110 )
BASE: confidence: 0.57268720865249634 confidence bounds at 95%: [ 0.52718210220336914 , 0.61819231510162354 ] support: 0.080033466219902039 number of use :454 number of events to predict :3586 number of events predicted: 287 dataset range :99988.185138863177
OLD: confidence: 0.49723756313323975 confidence bounds at 95%: [ 0.45518237352371216 , 0.53929275274276733 ] support: 0.0825229212641716 number of use :543 number of events to predict :3599 number of events predicted: 297 dataset range :99936.387513848851
Add condition [ gain:0.011313064714358671 impList:2 first:1 loop:18 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="495" score="-8.4882568455681504" creationTime="5.3380000000000001" confidence = "0.57268720865249634" support = "0.080033466219902039" number_of_use = "454" number_of_events_to_predict = "3586" number_of_events_predicted = "287" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.01352273777208457" baseconfidence = "0.57268720865249634" basesupport = "0.080033466219902039" basenumber_of_use = "454" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "287" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.01352273777208457" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.9985000000335269" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.49723756313323975" oldsupport = "0.0825229212641716" oldnumber_of_use = "543" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "297" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.016160458990898241" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.9985000000335269" testexpConfidence = "-1" testexpSupport = "-1" parentId="420" entropyGain="0.011313064714358671" type="2" split="-1" gaussian="-1" impList="2" firstElement="1" loop="18" threathold="-1" >
<similarId>
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<distribution_first>
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<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
169
similarId:
178 ,
180 ,
183
base
Show/Hide
confidence: 0.68760907649993896
confidence bounds at 95%: [ 0.64966022968292236 , 0.72555792331695557 ]
support: 0.12771891057491302
number of use :573
number of events to predict :3586
number of events predicted: 458
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :13.247593491085944
density v1 :3.1034470366181227e-039
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.2807833592909803e-040
density ln. v2 :-96.197227823115611
dist. expected v3 :11.099054958960885
density v3 :7.0917602334586527e-028
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :10.947013189515722
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :10.947013189515696
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.63204222917556763
confidence bounds at 95%: [ 0.59238213300704956 , 0.67170232534408569 ]
support: 0.11225340515375137
number of use :568
number of events to predict :3599
number of events predicted: 404
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :9.332359911501376
density v1 :4.8856022710739802e-020
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.9475112002210111e-023
density ln. v2 :-58.341467728503417
dist. expected v3 :8.2852793399490388
density v3 :4.9505371418914965e-016
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :8.1734381333406194
cum. density train v4 :4.4408920985006262e-012
cum. density test v4 :2.2204460492503131e-016
dist. expected v5 :8.1734381333406194
cum. density train v5 :4.4408920985006262e-012
cum. density test v5 :2.2204460492503131e-016
parentId:
39 [Interactive]
creation: Add condition [ gain:0.005557888386410692 impList:1 first:1 loop:4 ]
number of condition: 2
score: -8.5160144294291573
creation time: 4.3259999999999996
#id:169
a
← r (temp) [ -20 -3.0084999998100099 ]
( 14 11 12 13 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 9 16 15 13 17 10 16 24 39 71 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.68760907649993896 confidence bounds at 95%: [ 0.64966022968292236 , 0.72555792331695557 ] support: 0.12771891057491302 number of use :573 number of events to predict :3586 number of events predicted: 458 dataset range :99988.185138863177
OLD: confidence: 0.63204222917556763 confidence bounds at 95%: [ 0.59238213300704956 , 0.67170232534408569 ] support: 0.11225340515375137 number of use :568 number of events to predict :3599 number of events predicted: 404 dataset range :99936.387513848851
Add condition [ gain:0.005557888386410692 impList:1 first:1 loop:4 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="169" score="-8.5160144294291573" creationTime="4.3259999999999996" confidence = "0.68760907649993896" support = "0.12771891057491302" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "458" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.68760907649993896" basesupport = "0.12771891057491302" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "458" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "16.991500000189991" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.63204222917556763" oldsupport = "0.11225340515375137" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "404" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "16.991500000189991" testexpConfidence = "-1" testexpSupport = "-1" parentId="39" entropyGain="0.005557888386410692" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="4" threathold="-1" >
<similarId>
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<i v="180" />
<i v="183" />
</similarId>
<distribution_first>
<values></values>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
426
similarId:
480
base
Show/Hide
confidence: 0.49428209662437439
confidence bounds at 95%: [ 0.45935115218162537 , 0.52921301126480103 ]
support: 0.11433351784944534
number of use :787
number of events to predict :3586
number of events predicted: 410
dataset range :99988.185138863177
rule range :4.4977500000502921
exp. confidence :0.1489734918855965
exp. support :0.03478294105612556
std. error exp. confidence :0.012692251716012746
std. error exp. support :0.003059782118249229
dist. expected v1 :37.631320795412897
density v1 :1.244977808579695e-308
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.4124566771541672e-172
density ln. v2 :-219.05546176045976
dist. expected v3 :27.268404789240208
density v3 :1.3728606889169638e-162
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :27.139862257048545
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :27.139862257048605
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.50485438108444214
confidence bounds at 95%: [ 0.47071605920791626 , 0.53899270296096802 ]
support: 0.12392330914735794
number of use :824
number of events to predict :3599
number of events predicted: 446
dataset range :99936.387513848851
rule range :4.4977500000502921
exp. confidence :0.14954238623096183
exp. support :0.036406626687261134
std. error exp. confidence :0.012423526311352722
std. error exp. support :0.0031220956148405505
dist. expected v1 :40.046409631694573
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.3776604023280366e-188
density ln. v2 :-226.50492417577175
dist. expected v3 :28.707923550004093
density v3 :4.3664089874218906e-180
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :28.562619181994126
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :28.562619181994144
cum. density train v5 :0
cum. density test v5 :0
parentId:
416 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.6109755772606551
creation time: 5.0800000000000001
#id:426
a
← r (temp) [ -4.0079999998211857 -0.0099999997764825821 ]
( 48 97 89 0 0 106 0 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
BASE: confidence: 0.49428209662437439 confidence bounds at 95%: [ 0.45935115218162537 , 0.52921301126480103 ] support: 0.11433351784944534 number of use :787 number of events to predict :3586 number of events predicted: 410 dataset range :99988.185138863177
OLD: confidence: 0.50485438108444214 confidence bounds at 95%: [ 0.47071605920791626 , 0.53899270296096802 ] support: 0.12392330914735794 number of use :824 number of events to predict :3599 number of events predicted: 446 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="426" score="-8.6109755772606551" creationTime="5.0800000000000001" confidence = "0.49428209662437439" support = "0.11433351784944534" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "410" datasetrange = "99988.185138863177" rulerange = "4.4977500000502921" expConfidence = "0.1489734918855965" expSupport = "0.03478294105612556" baseconfidence = "0.49428209662437439" basesupport = "0.11433351784944534" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "410" basedatasetrange = "99988.185138863177" baserulerange = "4.4977500000502921" baseexpConfidence = "0.1489734918855965" baseexpSupport = "0.03478294105612556" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.9980000000447031" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.50485438108444214" oldsupport = "0.12392330914735794" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "446" olddatasetrange = "99936.387513848851" oldrulerange = "4.4977500000502921" oldexpConfidence = "0.14954238623096183" oldexpSupport = "0.036406626687261134" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.9980000000447031" testexpConfidence = "-1" testexpSupport = "-1" parentId="416" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="480" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="48"/><i v="97"/><i v="89"/><i v="0"/><i v="0"/><i v="106"/><i v="0"/><i v="118"/></values>
<bounds><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
463
similarId:
465
base
Show/Hide
confidence: 0.51762115955352783
confidence bounds at 95%: [ 0.47165605425834656 , 0.56358629465103149 ]
support: 0.072504185140132904
number of use :454
number of events to predict :3586
number of events predicted: 260
dataset range :99988.185138863177
rule range :3.4982500000391181
exp. confidence :0.11791271295582006
exp. support :0.015758720785927549
std. error exp. confidence :0.015135897252460622
std. error exp. support :0.0020797260202561237
dist. expected v1 :37.971781824463186
density v1 :3.2048753736704095e-314
cum. density train v1 :0
cum. density test v1 :0
density v2 :9.0127659898233122e-161
density ln. v2 :-198.86882713093885
dist. expected v3 :26.458534026535265
density v3 :3.8557644112801018e-153
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :26.421486437916759
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :26.421486437916684
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.51197052001953125
confidence bounds at 95%: [ 0.46992674469947815 , 0.55401426553726196 ]
support: 0.086968600749969482
number of use :543
number of events to predict :3599
number of events predicted: 313
dataset range :99936.387513848851
rule range :3.4982500000391181
exp. confidence :0.11837136723035968
exp. support :0.018828410026729636
std. error exp. confidence :0.013863288473948904
std. error exp. support :0.0022656268489717368
dist. expected v1 :41.359643360713399
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.2566032075067963e-182
density ln. v2 :-195.67203681031882
dist. expected v3 :28.484640459448688
density v3 :2.5889486708431862e-177
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :28.429865677309525
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :28.429865677309714
cum. density train v5 :0
cum. density test v5 :0
parentId:
446 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -8.6847767151821547
creation time: 5.2080000000000002
#id:463
a
← r (temp) [ -3.0084999998100099 -1.009499999787657 ]
( 58 88 74 64 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
← r (temp) [ -1.991000000201165 -0.49025000021793019 ]
( 95 101 120 )
BASE: confidence: 0.51762115955352783 confidence bounds at 95%: [ 0.47165605425834656 , 0.56358629465103149 ] support: 0.072504185140132904 number of use :454 number of events to predict :3586 number of events predicted: 260 dataset range :99988.185138863177
OLD: confidence: 0.51197052001953125 confidence bounds at 95%: [ 0.46992674469947815 , 0.55401426553726196 ] support: 0.086968600749969482 number of use :543 number of events to predict :3599 number of events predicted: 313 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="463" score="-8.6847767151821547" creationTime="5.2080000000000002" confidence = "0.51762115955352783" support = "0.072504185140132904" number_of_use = "454" number_of_events_to_predict = "3586" number_of_events_predicted = "260" datasetrange = "99988.185138863177" rulerange = "3.4982500000391181" expConfidence = "0.11791271295582006" expSupport = "0.015758720785927549" baseconfidence = "0.51762115955352783" basesupport = "0.072504185140132904" basenumber_of_use = "454" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "260" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391181" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.015758720785927549" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223529" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.51197052001953125" oldsupport = "0.086968600749969482" oldnumber_of_use = "543" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "313" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391181" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.018828410026729636" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223529" testexpConfidence = "-1" testexpSupport = "-1" parentId="446" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="465" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="58"/><i v="88"/><i v="74"/><i v="64"/></values>
<bounds><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="132"/><i v="131"/><i v="114"/><i v="112"/><i v="141"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
409
similarId: *none*
base
Show/Hide
confidence: 0.51321583986282349
confidence bounds at 95%: [ 0.46723821759223938 , 0.55919343233108521 ]
support: 0.071109868586063385
number of use :454
number of events to predict :3586
number of events predicted: 255
dataset range :99988.185138863177
rule range :1.9990000000223489
exp. confidence :0.06918369176752015
exp. support :0.0090355549155702874
std. error exp. confidence :0.011909840132614818
std. error exp. support :0.0015801608902864107
dist. expected v1 :54.159056946410814
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.4772006169787422e-321
density ln. v2 :-377.64775209242828
dist. expected v3 :37.344088985954912
density v3 :5.908775634578916e-304
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :37.315183024690064
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :37.31518302469032
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.45303866267204285
confidence bounds at 95%: [ 0.41116875410079956 , 0.49490857124328613 ]
support: 0.073909416794776917
number of use :543
number of events to predict :3599
number of events predicted: 266
dataset range :99936.387513848851
rule range :1.9990000000223489
exp. confidence :0.069460286911776192
exp. support :0.010802813828106217
std. error exp. confidence :0.010910278278148918
std. error exp. support :0.0017231336305156134
dist. expected v1 :50.767189799024429
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :9.1909670885086192e-278
density ln. v2 :-267.37501578475013
dist. expected v3 :35.228294762541154
density v3 :1.3003853413207229e-270
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :35.190798955779194
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :35.190798955779492
cum. density train v5 :0
cum. density test v5 :0
parentId:
58 [Interactive]
creation: Add condition [ gain:0.00379519645323334 impList:1 first:1 loop:13 ]
number of condition: 2
score: -8.7172554291714111
creation time: 5.0430000000000001
#id:409
a
← r (temp) [ -3.5082499998155972 -1.509249999793248 ]
( 63 58 88 74 )
← r (temp) [ -1.991000000201165 -0.49025000021793019 ]
( 69 72 103 )
BASE: confidence: 0.51321583986282349 confidence bounds at 95%: [ 0.46723821759223938 , 0.55919343233108521 ] support: 0.071109868586063385 number of use :454 number of events to predict :3586 number of events predicted: 255 dataset range :99988.185138863177
OLD: confidence: 0.45303866267204285 confidence bounds at 95%: [ 0.41116875410079956 , 0.49490857124328613 ] support: 0.073909416794776917 number of use :543 number of events to predict :3599 number of events predicted: 266 dataset range :99936.387513848851
Add condition [ gain:0.00379519645323334 impList:1 first:1 loop:13 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="409" score="-8.7172554291714111" creationTime="5.0430000000000001" confidence = "0.51321583986282349" support = "0.071109868586063385" number_of_use = "454" number_of_events_to_predict = "3586" number_of_events_predicted = "255" datasetrange = "99988.185138863177" rulerange = "1.9990000000223489" expConfidence = "0.06918369176752015" expSupport = "0.0090355549155702874" baseconfidence = "0.51321583986282349" basesupport = "0.071109868586063385" basenumber_of_use = "454" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "255" basedatasetrange = "99988.185138863177" baserulerange = "1.9990000000223489" baseexpConfidence = "0.06918369176752015" baseexpSupport = "0.0090355549155702874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223491" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.45303866267204285" oldsupport = "0.073909416794776917" oldnumber_of_use = "543" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "266" olddatasetrange = "99936.387513848851" oldrulerange = "1.9990000000223489" oldexpConfidence = "0.069460286911776192" oldexpSupport = "0.010802813828106217" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223491" testexpConfidence = "-1" testexpSupport = "-1" parentId="58" entropyGain="0.00379519645323334" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="13" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="63"/><i v="58"/><i v="88"/><i v="74"/></values>
<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="69"/><i v="72"/><i v="103"/></values>
<bounds><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
505
similarId: *none*
base
Show/Hide
confidence: 0.51321583986282349
confidence bounds at 95%: [ 0.46723821759223938 , 0.55919343233108521 ]
support: 0.071109868586063385
number of use :454
number of events to predict :3586
number of events predicted: 255
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.01352273777208457
std. error exp. confidence :0.014201512157547766
std. error exp. support :0.0019287267787216967
dist. expected v1 :41.594186403202663
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.1269820352530174e-194
density ln. v2 :-240.31818804214745
dist. expected v3 :29.00704341437368
density v3 :7.7868370931877838e-184
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :28.972612923365791
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :28.97261292336562
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.45303866267204285
confidence bounds at 95%: [ 0.41116875410079956 , 0.49490857124328613 ]
support: 0.073909416794776917
number of use :543
number of events to predict :3599
number of events predicted: 266
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.016160458990898241
std. error exp. confidence :0.013008180866054502
std. error exp. support :0.0021018322863014783
dist. expected v1 :38.492273361864349
density v1 :7.4109846876186982e-323
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.2511607904130784e-163
density ln. v2 :-168.08000367320321
dist. expected v3 :27.013197042124254
density v3 :1.3988969518464885e-159
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :26.969143923203415
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :26.969143923203521
cum. density train v5 :0
cum. density test v5 :0
parentId:
495 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -8.7578019417751705
creation time: 5.3499999999999996
#id:505
a
← r (temp) [ -3.5082499998155972 -1.509249999793248 ]
( 63 58 88 74 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
← r (temp) [ -1.991000000201165 -0.49025000021793019 ]
( 79 82 110 )
BASE: confidence: 0.51321583986282349 confidence bounds at 95%: [ 0.46723821759223938 , 0.55919343233108521 ] support: 0.071109868586063385 number of use :454 number of events to predict :3586 number of events predicted: 255 dataset range :99988.185138863177
OLD: confidence: 0.45303866267204285 confidence bounds at 95%: [ 0.41116875410079956 , 0.49490857124328613 ] support: 0.073909416794776917 number of use :543 number of events to predict :3599 number of events predicted: 266 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="505" score="-8.7578019417751705" creationTime="5.3499999999999996" confidence = "0.51321583986282349" support = "0.071109868586063385" number_of_use = "454" number_of_events_to_predict = "3586" number_of_events_predicted = "255" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.01352273777208457" baseconfidence = "0.51321583986282349" basesupport = "0.071109868586063385" basenumber_of_use = "454" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "255" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.01352273777208457" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223491" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.45303866267204285" oldsupport = "0.073909416794776917" oldnumber_of_use = "543" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "266" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.016160458990898241" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223491" testexpConfidence = "-1" testexpSupport = "-1" parentId="495" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="63"/><i v="58"/><i v="88"/><i v="74"/></values>
<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
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</condition>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
357
similarId: *none*
base
Show/Hide
confidence: 0.45235070586204529
confidence bounds at 95%: [ 0.41757646203041077 , 0.48712494969367981 ]
support: 0.10875627398490906
number of use :787
number of events to predict :3586
number of events predicted: 390
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :46.948088755412769
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :7.9862980961139819e-234
density ln. v2 :-193.69829666410598
dist. expected v3 :32.650240998094581
density v3 :1.2991165085042283e-232
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :32.550434686886305
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :32.550434686885765
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.48058253526687622
confidence bounds at 95%: [ 0.44646838307380676 , 0.51469671726226807 ]
support: 0.12086690962314606
number of use :824
number of events to predict :3599
number of events predicted: 435
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :51.846641199350834
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.208449378262716e-286
density ln. v2 :-256.19624696571731
dist. expected v3 :36.020380990276891
density v3 :7.233474166847498e-283
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :35.902100003979854
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :35.902100003980152
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.7779086209282582
creation time: 4.7969999999999997
#id:357
a
← r (temp) [ -3.0084999998100099 -0.0099999997764825821 ]
( 89 0 110 106 0 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.45235070586204529 confidence bounds at 95%: [ 0.41757646203041077 , 0.48712494969367981 ] support: 0.10875627398490906 number of use :787 number of events to predict :3586 number of events predicted: 390 dataset range :99988.185138863177
OLD: confidence: 0.48058253526687622 confidence bounds at 95%: [ 0.44646838307380676 , 0.51469671726226807 ] support: 0.12086690962314606 number of use :824 number of events to predict :3599 number of events predicted: 435 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="357" score="-8.7779086209282582" creationTime="4.7969999999999997" confidence = "0.45235070586204529" support = "0.10875627398490906" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "390" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.45235070586204529" basesupport = "0.10875627398490906" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "390" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.9985000000335273" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.48058253526687622" oldsupport = "0.12086690962314606" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "435" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.9985000000335273" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
78
similarId: *none*
base
Show/Hide
confidence: 0.83743840456008911
confidence bounds at 95%: [ 0.78668171167373657 , 0.88819509744644165 ]
support: 0.080312326550483704
number of use :203
number of events to predict :3586
number of events predicted: 288
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.039775869445696443
std. error exp. confidence :0.035083372367853513
std. error exp. support :0.0032635555244750571
dist. expected v1 :15.506159038130251
density v1 :2.4536760720234478e-053
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.7708366964773648e-022
density ln. v2 :-49.540003594455044
dist. expected v3 :9.3178426018858769
density v3 :5.5938509506209153e-020
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :9.2926413794335474
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :9.2926413794335527
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.81990522146224976
confidence bounds at 95%: [ 0.76805537939071655 , 0.87175506353378296 ]
support: 0.081411503255367279
number of use :211
number of events to predict :3599
number of events predicted: 293
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.041331532025280615
std. error exp. confidence :0.034409361896585826
std. error exp. support :0.0033180585855830573
dist. expected v1 :15.011412055490904
density v1 :4.6602549951455137e-050
cum. density train v1 :0
cum. density test v1 :0
density v2 :8.22611976869307e-019
density ln. v2 :-38.15898078742584
dist. expected v3 :8.94998623680371
density v3 :1.6103737923330218e-018
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :8.9239604538394204
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :8.9239604538394151
cum. density train v5 :0
cum. density test v5 :0
parentId:
63 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.8178418115331336
creation time: 4.125
#id:78
a
← j (temp) [ -20 -0.0099999997764825821 ]
( 6 10 8 13 8 4 4 6 4 8 2 14 3 7 8 5 6 6 8 7 6 12 8 9 8 4 8 10 0 4 8 12 7 13 9 12 12 14 0 15 )
← r (temp) [ -3.992000000178813 -0.49025000021793019 ]
( 19 34 19 26 24 40 32 )
BASE: confidence: 0.83743840456008911 confidence bounds at 95%: [ 0.78668171167373657 , 0.88819509744644165 ] support: 0.080312326550483704 number of use :203 number of events to predict :3586 number of events predicted: 288 dataset range :99988.185138863177
OLD: confidence: 0.81990522146224976 confidence bounds at 95%: [ 0.76805537939071655 , 0.87175506353378296 ] support: 0.081411503255367279 number of use :211 number of events to predict :3599 number of events predicted: 293 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="78" score="-8.8178418115331336" creationTime="4.125" confidence = "0.83743840456008911" support = "0.080312326550483704" number_of_use = "203" number_of_events_to_predict = "3586" number_of_events_predicted = "288" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.039775869445696443" baseconfidence = "0.83743840456008911" basesupport = "0.080312326550483704" basenumber_of_use = "203" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "288" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.039775869445696443" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "19.990000000223517" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.81990522146224976" oldsupport = "0.081411503255367279" oldnumber_of_use = "211" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "293" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.041331532025280615" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "19.990000000223517" testexpConfidence = "-1" testexpSupport = "-1" parentId="63" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
77
similarId: *none*
base
Show/Hide
confidence: 0.83743840456008911
confidence bounds at 95%: [ 0.78668171167373657 , 0.88819509744644165 ]
support: 0.080033466219902039
number of use :203
number of events to predict :3586
number of events predicted: 287
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.039775869445696443
std. error exp. confidence :0.035083372367853513
std. error exp. support :0.0032635555244750571
dist. expected v1 :15.43779805886966
density v1 :7.0658049339120122e-053
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.1182538529125494e-022
density ln. v2 :-50.333145826437857
dist. expected v3 :9.317394082054582
density v3 :5.6172773348361068e-020
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :9.2921940726779102
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :9.2921940726779138
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.80568718910217285
confidence bounds at 95%: [ 0.75229853391647339 , 0.85907584428787231 ]
support: 0.079744376242160797
number of use :211
number of events to predict :3599
number of events predicted: 287
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.041331532025280615
std. error exp. confidence :0.034409361896585826
std. error exp. support :0.0033180585855830573
dist. expected v1 :14.361826868902847
density v1 :6.4814239937980438e-046
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.9567339544845422e-016
density ln. v2 :-30.317106574480277
dist. expected v3 :8.5353684213217971
density v3 :6.042096194728461e-017
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :8.510548310968991
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :8.5105483109689857
cum. density train v5 :0
cum. density test v5 :0
parentId:
63 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.8247979119970008
creation time: 4.125
#id:77
a
← j (temp) [ -20 -0.0099999997764825821 ]
( 6 10 8 13 8 4 4 6 4 8 0 14 3 7 8 5 6 6 8 7 6 12 8 9 8 4 8 10 0 4 8 12 7 13 9 12 12 14 0 15 )
← r (temp) [ -3.992000000178813 -0.49025000021793019 ]
( 19 34 19 26 24 40 32 )
BASE: confidence: 0.83743840456008911 confidence bounds at 95%: [ 0.78668171167373657 , 0.88819509744644165 ] support: 0.080033466219902039 number of use :203 number of events to predict :3586 number of events predicted: 287 dataset range :99988.185138863177
OLD: confidence: 0.80568718910217285 confidence bounds at 95%: [ 0.75229853391647339 , 0.85907584428787231 ] support: 0.079744376242160797 number of use :211 number of events to predict :3599 number of events predicted: 287 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="77" score="-8.8247979119970008" creationTime="4.125" confidence = "0.83743840456008911" support = "0.080033466219902039" number_of_use = "203" number_of_events_to_predict = "3586" number_of_events_predicted = "287" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.039775869445696443" baseconfidence = "0.83743840456008911" basesupport = "0.080033466219902039" basenumber_of_use = "203" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "287" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.039775869445696443" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "19.990000000223517" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.80568718910217285" oldsupport = "0.079744376242160797" oldnumber_of_use = "211" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "287" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.041331532025280615" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "19.990000000223517" testexpConfidence = "-1" testexpSupport = "-1" parentId="63" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
730
similarId: *none*
base
Show/Hide
confidence: 0.45120000839233398
confidence bounds at 95%: [ 0.41218715906143188 , 0.49021285772323608 ]
support: 0.086447298526763916
number of use :625
number of events to predict :3586
number of events predicted: 310
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.86493739635454225
density ln. v2 :7.2399489352309212
dist. expected v3 :-3.2031878536517091
density v3 :0.0023598794397632033
cum. density train v3 :1
cum. density test v3 :0.99932035952630616
dist. expected v4 :-3.1399232452015347
cum. density train v4 :1
cum. density test v4 :0.99915497268689335
dist. expected v5 :-3.1399232452015435
cum. density train v5 :1
cum. density test v5 :0.99915497268689346
old
Show/Hide
confidence: 0.54978352785110474
confidence bounds at 95%: [ 0.51274138689041138 , 0.5868256688117981 ]
support: 0.11864406615495682
number of use :693
number of events to predict :3599
number of events predicted: 427
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :1.9250429862869203
density v1 :0.062547201534214517
cum. density train v1 :1
cum. density test v1 :0.027111922666864574
density v2 :0.027820739312200932
density ln. v2 :-8.1858283554151239
dist. expected v3 :1.7505275851424851
density v3 :0.086197685986493855
cum. density train v3 :1
cum. density test v3 :0.040013617235116095
dist. expected v4 :1.7099668634463903
cum. density train v4 :1
cum. density test v4 :0.043635968337050635
dist. expected v5 :1.7099668634463843
cum. density train v5 :1
cum. density test v5 :0.043635968337051079
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.8417804993618425
creation time: 6.0780000000000003
#id:730
a
← r (temp) [ -2.008999999798835 -0.0099999997764825821 ]
( 86 86 78 91 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.45120000839233398 confidence bounds at 95%: [ 0.41218715906143188 , 0.49021285772323608 ] support: 0.086447298526763916 number of use :625 number of events to predict :3586 number of events predicted: 310 dataset range :99988.185138863177
OLD: confidence: 0.54978352785110474 confidence bounds at 95%: [ 0.51274138689041138 , 0.5868256688117981 ] support: 0.11864406615495682 number of use :693 number of events to predict :3599 number of events predicted: 427 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="730" score="-8.8417804993618425" creationTime="6.0780000000000003" confidence = "0.45120000839233398" support = "0.086447298526763916" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "310" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.45120000839233398" basesupport = "0.086447298526763916" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "310" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223525" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.54978352785110474" oldsupport = "0.11864406615495682" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "427" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223525" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
514
similarId:
516 ,
519 ,
521 ,
523
base
Show/Hide
confidence: 0.55139291286468506
confidence bounds at 95%: [ 0.52117985486984253 , 0.58160597085952759 ]
support: 0.15644171833992004
number of use :1041
number of events to predict :3586
number of events predicted: 561
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :2.5566226422712108
density v1 :0.015190300182928827
cum. density train v1 :1
cum. density test v1 :0.0052847163189688739
density v2 :2.6115598853611918e-012
density ln. v2 :-20.054353778723524
dist. expected v3 :1.8141414825248559
density v3 :0.076958174539013477
cum. density train v3 :1
cum. density test v3 :0.034827918399673807
dist. expected v4 :1.7409964657834847
cum. density train v4 :1
cum. density test v4 :0.040842059233715422
dist. expected v5 :1.740996465783494
cum. density train v5 :1
cum. density test v5 :0.040842059233714645
old
Show/Hide
confidence: 0.53248029947280884
confidence bounds at 95%: [ 0.50179988145828247 , 0.56316071748733521 ]
support: 0.14559599757194519
number of use :1016
number of events to predict :3599
number of events predicted: 524
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :1.2274251783269541
density v1 :0.18782871584010491
cum. density train v1 :1
cum. density test v1 :0.10983148133361009
density v2 :1.2215977903828873e-009
density ln. v2 :-9.0413342016876008
dist. expected v3 :0.4977424497225772
density v3 :0.3524620555574105
cum. density train v3 :1
cum. density test v3 :0.30933279173703532
dist. expected v4 :0.47822783463815188
cum. density train v4 :1
cum. density test v4 :0.31624403699042525
dist. expected v5 :0.47822783463814922
cum. density train v5 :1
cum. density test v5 :0.31624403699042625
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -8.9327777127335715
creation time: 5.3860000000000001
#id:514
a
← r (temp) [ -20 -4.0079999998211857 ]
( 22 17 21 18 26 16 23 31 23 21 22 29 21 29 25 23 28 13 17 30 29 23 33 17 19 31 24 24 34 29 28 34 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.55139291286468506 confidence bounds at 95%: [ 0.52117985486984253 , 0.58160597085952759 ] support: 0.15644171833992004 number of use :1041 number of events to predict :3586 number of events predicted: 561 dataset range :99988.185138863177
OLD: confidence: 0.53248029947280884 confidence bounds at 95%: [ 0.50179988145828247 , 0.56316071748733521 ] support: 0.14559599757194519 number of use :1016 number of events to predict :3599 number of events predicted: 524 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="514" score="-8.9327777127335715" creationTime="5.3860000000000001" confidence = "0.55139291286468506" support = "0.15644171833992004" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "561" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.55139291286468506" basesupport = "0.15644171833992004" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "561" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.992000000178814" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.53248029947280884" oldsupport = "0.14559599757194519" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "524" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.992000000178814" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<i v="519" />
<i v="521" />
<i v="523" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
3
similarId: *none*
base
Show/Hide
confidence: 0.47200000286102295
confidence bounds at 95%: [ 0.44105830788612366 , 0.50294166803359985 ]
support: 0.15337423980236053
number of use :1000
number of events to predict :3586
number of events predicted: 550
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :20.825417576329354
density ln. v2 :3.820854223266378
dist. expected v3 :-2.791124620129521
density v3 :0.0081143039435285259
cum. density train v3 :1
cum. density test v3 :0.99737367814150513
dist. expected v4 :-2.6838956777485126
cum. density train v4 :1
cum. density test v4 :0.99636146234878298
dist. expected v5 :-2.6838956777485268
cum. density train v5 :1
cum. density test v5 :0.99636146234878309
old
Show/Hide
confidence: 0.4699999988079071
confidence bounds at 95%: [ 0.43906551599502563 , 0.50093448162078857 ]
support: 0.15226452052593231
number of use :1000
number of events to predict :3599
number of events predicted: 548
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :12.586250399348446
density ln. v2 :4.027563385691125
dist. expected v3 :-3.0131962382605724
density v3 :0.0042594539045489946
cum. density train v3 :1
cum. density test v3 :0.99870737224889716
dist. expected v4 :-2.8973208914593247
cum. density train v4 :1
cum. density test v4 :0.99811811032419473
dist. expected v5 :-2.8973208914593092
cum. density train v5 :1
cum. density test v5 :0.99811811032419451
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -8.9495783226975636
creation time: 3.452
#id:3
a
← j (temp) [ -20 -11.004499999899419 ]
( 29 40 23 34 41 30 28 28 32 32 27 41 37 35 33 28 36 33 )
BASE: confidence: 0.47200000286102295 confidence bounds at 95%: [ 0.44105830788612366 , 0.50294166803359985 ] support: 0.15337423980236053 number of use :1000 number of events to predict :3586 number of events predicted: 550 dataset range :99988.185138863177
OLD: confidence: 0.4699999988079071 confidence bounds at 95%: [ 0.43906551599502563 , 0.50093448162078857 ] support: 0.15226452052593231 number of use :1000 number of events to predict :3599 number of events predicted: 548 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="3" score="-8.9495783226975636" creationTime="3.452" confidence = "0.47200000286102295" support = "0.15337423980236053" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "550" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.47200000286102295" basesupport = "0.15337423980236053" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "550" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "8.9955000001005807" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4699999988079071" oldsupport = "0.15226452052593231" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "548" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "8.9955000001005807" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="29"/><i v="40"/><i v="23"/><i v="34"/><i v="41"/><i v="30"/><i v="28"/><i v="28"/><i v="32"/><i v="32"/><i v="27"/><i v="41"/><i v="37"/><i v="35"/><i v="33"/><i v="28"/><i v="36"/><i v="33"/></values>
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</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
29
similarId: *none*
base
Show/Hide
confidence: 0.4699999988079071
confidence bounds at 95%: [ 0.43906551599502563 , 0.50093448162078857 ]
support: 0.14751812815666199
number of use :1000
number of events to predict :3586
number of events predicted: 529
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :3.4456822209872175
density ln. v2 :6.05667883054209
dist. expected v3 :-3.0043793073630822
density v3 :0.004373962000021589
cum. density train v3 :1
cum. density test v3 :0.99866931413079496
dist. expected v4 :-2.8889575833323655
cum. density train v4 :1
cum. density test v4 :0.99806732754227667
dist. expected v5 :-2.8889575833323811
cum. density train v5 :1
cum. density test v5 :0.99806732754227689
old
Show/Hide
confidence: 0.45100000500679016
confidence bounds at 95%: [ 0.42015886306762695 , 0.48184114694595337 ]
support: 0.14531815052032471
number of use :1000
number of events to predict :3599
number of events predicted: 523
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.30095118881549743
density ln. v2 :5.0019879877704359
dist. expected v3 :-4.2424888625911654
density v3 :4.9265111357752626e-005
cum. density train v3 :1
cum. density test v3 :0.99998893994485816
dist. expected v4 :-4.0793398907416023
cum. density train v4 :1
cum. density test v4 :0.99997740623033171
dist. expected v5 :-4.0793398907415801
cum. density train v5 :1
cum. density test v5 :0.99997740623033171
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -8.9872647269728496
creation time: 3.516
#id:29
a
← j (temp) [ -11.004499999899419 -2.5087499998044218 ]
( 31 30 31 41 41 34 48 29 31 37 26 19 35 38 23 35 27 )
BASE: confidence: 0.4699999988079071 confidence bounds at 95%: [ 0.43906551599502563 , 0.50093448162078857 ] support: 0.14751812815666199 number of use :1000 number of events to predict :3586 number of events predicted: 529 dataset range :99988.185138863177
OLD: confidence: 0.45100000500679016 confidence bounds at 95%: [ 0.42015886306762695 , 0.48184114694595337 ] support: 0.14531815052032471 number of use :1000 number of events to predict :3599 number of events predicted: 523 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="29" score="-8.9872647269728496" creationTime="3.516" confidence = "0.4699999988079071" support = "0.14751812815666199" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "529" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.4699999988079071" basesupport = "0.14751812815666199" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "529" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "8.495750000094997" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.45100000500679016" oldsupport = "0.14531815052032471" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "523" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "8.495750000094997" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
75
similarId: *none*
base
Show/Hide
confidence: 0.8177340030670166
confidence bounds at 95%: [ 0.76462513208389282 , 0.87084287405014038 ]
support: 0.073340766131877899
number of use :203
number of events to predict :3586
number of events predicted: 263
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.039775869445696443
std. error exp. confidence :0.035083372367853513
std. error exp. support :0.0032635555244750571
dist. expected v1 :13.484290386226048
density v1 :1.3118279897102321e-040
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.2772911917908231e-021
density ln. v2 :-49.505633680628748
dist. expected v3 :8.7467785875680768
density v3 :9.7233023694949957e-018
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :8.7231218762085234
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :8.723121876208527
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.79146921634674072
confidence bounds at 95%: [ 0.73665201663970947 , 0.84628641605377197 ]
support: 0.075576551258563995
number of use :211
number of events to predict :3599
number of events predicted: 272
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.041331532025280615
std. error exp. confidence :0.034409361896585826
std. error exp. support :0.0033180585855830573
dist. expected v1 :13.111187036278702
density v1 :1.87326378748063e-038
cum. density train v1 :0
cum. density test v1 :0
density v2 :9.8596446375848638e-015
density ln. v2 :-29.815726960940555
dist. expected v3 :8.1165061849226277
density v3 :1.9758556336488711e-015
cum. density train v3 :4.4408920985006262e-012
cum. density test v3 :2.2204460492503131e-016
dist. expected v4 :8.0929040895888402
cum. density train v4 :4.4408920985006262e-012
cum. density test v4 :2.2204460492503131e-016
dist. expected v5 :8.0929040895888367
cum. density train v5 :4.4408920985006262e-012
cum. density test v5 :2.2204460492503131e-016
parentId:
63 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.0167352619762635
creation time: 4.1210000000000004
#id:75
a
← j (temp) [ -20 -1.509249999793248 ]
( 6 10 8 13 8 4 4 6 4 8 2 14 3 7 8 5 6 6 8 7 6 12 8 9 8 4 8 10 2 4 8 12 7 13 9 12 12 )
← r (temp) [ -3.992000000178813 -0.49025000021793019 ]
( 19 34 19 26 24 40 32 )
BASE: confidence: 0.8177340030670166 confidence bounds at 95%: [ 0.76462513208389282 , 0.87084287405014038 ] support: 0.073340766131877899 number of use :203 number of events to predict :3586 number of events predicted: 263 dataset range :99988.185138863177
OLD: confidence: 0.79146921634674072 confidence bounds at 95%: [ 0.73665201663970947 , 0.84628641605377197 ] support: 0.075576551258563995 number of use :211 number of events to predict :3599 number of events predicted: 272 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="75" score="-9.0167352619762635" creationTime="4.1210000000000004" confidence = "0.8177340030670166" support = "0.073340766131877899" number_of_use = "203" number_of_events_to_predict = "3586" number_of_events_predicted = "263" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.039775869445696443" baseconfidence = "0.8177340030670166" basesupport = "0.073340766131877899" basenumber_of_use = "203" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "263" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.039775869445696443" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.490750000206752" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.79146921634674072" oldsupport = "0.075576551258563995" oldnumber_of_use = "211" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "272" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.041331532025280615" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.490750000206752" testexpConfidence = "-1" testexpSupport = "-1" parentId="63" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
182
similarId: *none*
base
Show/Hide
confidence: 0.63525307178497314
confidence bounds at 95%: [ 0.59583932161331177 , 0.67466682195663452 ]
support: 0.11433351784944534
number of use :573
number of events to predict :3586
number of events predicted: 410
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :9.6797986327324654
density v1 :1.7969623114545758e-021
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.3530926057763987e-024
density ln. v2 :-61.234421338520832
dist. expected v3 :8.5453246809057131
density v3 :5.5495736037066282e-017
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :8.4282654997617055
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :8.4282654997616842
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.58274650573730469
confidence bounds at 95%: [ 0.54219365119934082 , 0.62329936027526855 ]
support: 0.10197277367115021
number of use :568
number of events to predict :3599
number of events predicted: 367
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :6.3246060722700292
density v1 :8.2201742902630373e-010
cum. density train v1 :2.5500369331687978e-006
cum. density test v1 :1.2750200895084163e-010
density v2 :4.7262927288442452e-012
density ln. v2 :-33.361648184397971
dist. expected v3 :5.9087056736893002
density v3 :1.0463844504889288e-008
cum. density train v3 :3.4595914055524091e-005
cum. density test v3 :1.7298256160813708e-009
dist. expected v4 :5.8289453246503644
cum. density train v4 :5.595427697124844e-005
cum. density test v4 :2.7977921090993618e-009
dist. expected v5 :5.8289453246503644
cum. density train v5 :5.595427697124844e-005
cum. density test v5 :2.7977921090993618e-009
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.0243737656264003
creation time: 4.3550000000000004
#id:182
a
← r (temp) [ -20 -3.5082499998155972 ]
( 14 11 12 13 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 9 16 15 13 17 10 16 24 39 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.63525307178497314 confidence bounds at 95%: [ 0.59583932161331177 , 0.67466682195663452 ] support: 0.11433351784944534 number of use :573 number of events to predict :3586 number of events predicted: 410 dataset range :99988.185138863177
OLD: confidence: 0.58274650573730469 confidence bounds at 95%: [ 0.54219365119934082 , 0.62329936027526855 ] support: 0.10197277367115021 number of use :568 number of events to predict :3599 number of events predicted: 367 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="182" score="-9.0243737656264003" creationTime="4.3550000000000004" confidence = "0.63525307178497314" support = "0.11433351784944534" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "410" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.63525307178497314" basesupport = "0.11433351784944534" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "410" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "16.491750000184403" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.58274650573730469" oldsupport = "0.10197277367115021" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "367" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "16.491750000184403" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
186
similarId: *none*
base
Show/Hide
confidence: 0.62303662300109863
confidence bounds at 95%: [ 0.5833553671836853 , 0.66271787881851196 ]
support: 0.11070831120014191
number of use :573
number of events to predict :3586
number of events predicted: 397
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :8.8234396834466597
density v1 :4.9582319573470444e-018
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.2434521328818643e-022
density ln. v2 :-55.619286172405957
dist. expected v3 :7.9456934743386576
density v3 :7.7898021968791165e-015
cum. density train v3 :1.9984014443252818e-011
cum. density test v3 :9.9920072216264089e-016
dist. expected v4 :7.8368484150273723
cum. density train v4 :4.6629367034256575e-011
cum. density test v4 :2.3314683517128287e-015
dist. expected v5 :7.8368484150273527
cum. density train v5 :4.6629367034256575e-011
cum. density test v5 :2.3314683517128287e-015
old
Show/Hide
confidence: 0.55105632543563843
confidence bounds at 95%: [ 0.51015138626098633 , 0.59196126461029053 ]
support: 0.095026396214962006
number of use :568
number of events to predict :3599
number of events predicted: 342
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :4.5072242001754823
density v1 :1.5472078763896217e-005
cum. density train v1 :0.063627924589804707
cum. density test v1 :3.2871128489153634e-006
density v2 :4.1264139395873271e-007
density ln. v2 :-21.962836557847819
dist. expected v3 :4.3784195766735374
density v3 :2.7420558165182654e-005
cum. density train v3 :0.11275858358500901
cum. density test v3 :5.981890202066964e-006
dist. expected v4 :4.319316231040764
cum. density train v4 :0.14497875380410885
cum. density test v4 :7.8314173843629931e-006
dist. expected v5 :4.319316231040764
cum. density train v5 :0.14497875380410885
cum. density test v5 :7.8314173843629931e-006
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.135716269404714
creation time: 4.367
#id:186
a
← r (temp) [ -19.500249999994409 -3.5082499998155972 ]
( 11 12 13 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 0 16 15 13 17 10 16 24 39 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.62303662300109863 confidence bounds at 95%: [ 0.5833553671836853 , 0.66271787881851196 ] support: 0.11070831120014191 number of use :573 number of events to predict :3586 number of events predicted: 397 dataset range :99988.185138863177
OLD: confidence: 0.55105632543563843 confidence bounds at 95%: [ 0.51015138626098633 , 0.59196126461029053 ] support: 0.095026396214962006 number of use :568 number of events to predict :3599 number of events predicted: 342 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="186" score="-9.135716269404714" creationTime="4.367" confidence = "0.62303662300109863" support = "0.11070831120014191" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "397" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.62303662300109863" basesupport = "0.11070831120014191" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "397" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.992000000178813" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.55105632543563843" oldsupport = "0.095026396214962006" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "342" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.992000000178813" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
67
similarId:
68
base
Show/Hide
confidence: 0.80788177251815796
confidence bounds at 95%: [ 0.75368589162826538 , 0.86207765340805054 ]
support: 0.066926941275596619
number of use :203
number of events to predict :3586
number of events predicted: 240
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.039775869445696443
std. error exp. confidence :0.035083372367853513
std. error exp. support :0.0032635555244750571
dist. expected v1 :11.850921720331952
density v1 :1.2700122408554662e-031
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.9834256314492721e-023
density ln. v2 :-57.488873469151379
dist. expected v3 :8.4565362574473468
density v3 :1.1804789169255585e-016
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :8.4336645412673583
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :8.4336645412673619
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.77251183986663818
confidence bounds at 95%: [ 0.71594697237014771 , 0.82907670736312866 ]
support: 0.070853017270565033
number of use :211
number of events to predict :3599
number of events predicted: 255
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.041331532025280615
std. error exp. confidence :0.034409361896585826
std. error exp. support :0.0033180585855830573
dist. expected v1 :11.65926642213361
density v1 :1.2084849957307555e-030
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.8307800678114468e-013
density ln. v2 :-27.916730611552445
dist. expected v3 :7.5594362837412925
density v3 :1.5560167830902325e-013
cum. density train v3 :4.0856207306205761e-010
cum. density test v3 :2.042810365310288e-014
dist. expected v4 :7.5374540993169177
cum. density train v4 :4.8405723873656825e-010
cum. density test v4 :2.4202861936828413e-014
dist. expected v5 :7.5374540993169132
cum. density train v5 :4.8405723873656825e-010
cum. density test v5 :2.4202861936828413e-014
parentId:
63 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.1926812952208667
creation time: 4.1130000000000004
#id:67
a
← j (temp) [ -20 -2.5087499998044218 ]
( 6 10 8 13 8 4 4 6 4 8 2 14 3 7 8 5 6 6 8 7 6 12 8 9 8 4 8 10 2 4 8 12 7 13 9 )
← r (temp) [ -3.992000000178813 -0.49025000021793019 ]
( 19 34 19 26 24 40 32 )
BASE: confidence: 0.80788177251815796 confidence bounds at 95%: [ 0.75368589162826538 , 0.86207765340805054 ] support: 0.066926941275596619 number of use :203 number of events to predict :3586 number of events predicted: 240 dataset range :99988.185138863177
OLD: confidence: 0.77251183986663818 confidence bounds at 95%: [ 0.71594697237014771 , 0.82907670736312866 ] support: 0.070853017270565033 number of use :211 number of events to predict :3599 number of events predicted: 255 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="67" score="-9.1926812952208667" creationTime="4.1130000000000004" confidence = "0.80788177251815796" support = "0.066926941275596619" number_of_use = "203" number_of_events_to_predict = "3586" number_of_events_predicted = "240" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.039775869445696443" baseconfidence = "0.80788177251815796" basesupport = "0.066926941275596619" basenumber_of_use = "203" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "240" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.039775869445696443" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "17.491250000195578" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.77251183986663818" oldsupport = "0.070853017270565033" oldnumber_of_use = "211" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "255" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.041331532025280615" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "17.491250000195578" testexpConfidence = "-1" testexpSupport = "-1" parentId="63" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
513
similarId:
515 ,
518
base
Show/Hide
confidence: 0.51873201131820679
confidence bounds at 95%: [ 0.48837941884994507 , 0.54908460378646851 ]
support: 0.14528723061084747
number of use :1041
number of events to predict :3586
number of events predicted: 521
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :0.44845966913258339
density v1 :0.3607765199612899
cum. density train v1 :1
cum. density test v1 :0.32691076959744947
density v2 :2.2877513464841688e-008
density ln. v2 :-3.1618435112376493
dist. expected v3 :-0.3229362090673405
density v3 :0.37867292895672566
cum. density train v3 :1
cum. density test v3 :0.62662815460324506
dist. expected v4 :-0.30991562900444997
cum. density train v4 :1
cum. density test v4 :0.62168737244951089
dist. expected v5 :-0.30991562900445163
cum. density train v5 :1
cum. density test v5 :0.62168737244951155
old
Show/Hide
confidence: 0.50196850299835205
confidence bounds at 95%: [ 0.47122341394424438 , 0.53271359205245972 ]
support: 0.1369825005531311
number of use :1016
number of events to predict :3599
number of events predicted: 493
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.122783551885033e-006
density ln. v2 :4.6335105486185508
dist. expected v3 :-1.4480511763510682
density v3 :0.13982486023155311
cum. density train v3 :1
cum. density test v3 :0.9261985870011219
dist. expected v4 :-1.3912785194382598
cum. density train v4 :1
cum. density test v4 :0.9179294512444337
dist. expected v5 :-1.391278519438252
cum. density train v5 :1
cum. density test v5 :0.91792945124443248
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.2604215417546918
creation time: 5.3780000000000001
#id:513
a
← r (temp) [ -20 -5.0074999998323619 ]
( 22 17 21 18 26 16 23 31 23 21 22 29 21 29 25 23 28 13 17 30 29 23 33 17 19 31 24 24 34 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.51873201131820679 confidence bounds at 95%: [ 0.48837941884994507 , 0.54908460378646851 ] support: 0.14528723061084747 number of use :1041 number of events to predict :3586 number of events predicted: 521 dataset range :99988.185138863177
OLD: confidence: 0.50196850299835205 confidence bounds at 95%: [ 0.47122341394424438 , 0.53271359205245972 ] support: 0.1369825005531311 number of use :1016 number of events to predict :3599 number of events predicted: 493 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="513" score="-9.2604215417546918" creationTime="5.3780000000000001" confidence = "0.51873201131820679" support = "0.14528723061084747" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "521" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.51873201131820679" basesupport = "0.14528723061084747" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "521" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.992500000167638" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.50196850299835205" oldsupport = "0.1369825005531311" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "493" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.992500000167638" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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<i v="518" />
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<distribution>
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<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
469
similarId: *none*
base
Show/Hide
confidence: 0.34878820180892944
confidence bounds at 95%: [ 0.3184657096862793 , 0.37911069393157959 ]
support: 0.098159506916999817
number of use :949
number of events to predict :3586
number of events predicted: 352
dataset range :99988.185138863177
rule range :1.499250000016765
exp. confidence :0.052349827241910618
exp. support :0.01412890713455861
std. error exp. confidence :0.0072301705735265676
std. error exp. support :0.0019708755827479202
dist. expected v1 :59.151155817559804
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-190.24088198895316
dist. expected v3 :41.19110027729927
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :41.109137472687351
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :41.109137472689213
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.41200828552246094
confidence bounds at 95%: [ 0.38096940517425537 , 0.4430471658706665 ]
support: 0.11864406615495682
number of use :966
number of events to predict :3599
number of events predicted: 427
dataset range :99936.387513848851
rule range :1.499250000016765
exp. confidence :0.052561032530939023
exp. support :0.014387577624102366
std. error exp. confidence :0.0071799100317768991
std. error exp. support :0.0019849793853794649
dist. expected v1 :72.559840668589189
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :0
density ln. v2 :-358.12578164078633
dist. expected v3 :50.334145622484421
density v3 :0
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :50.231425869797867
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :50.231425869798095
cum. density train v5 :0
cum. density test v5 :0
parentId:
62 [Interactive]
creation: Add condition [ gain:0.0030253134497515428 impList:1 first:0 loop:16 ]
number of condition: 2
score: -9.3297637101131876
creation time: 5.2450000000000001
#id:469
a
← r (temp) [ -1.509249999793248 -0.0099999997764825821 ]
( 119 122 141 )
← r (temp) [ -3.4917500001844028 -0.49025000021793019 ]
( 59 71 72 49 48 59 )
BASE: confidence: 0.34878820180892944 confidence bounds at 95%: [ 0.3184657096862793 , 0.37911069393157959 ] support: 0.098159506916999817 number of use :949 number of events to predict :3586 number of events predicted: 352 dataset range :99988.185138863177
OLD: confidence: 0.41200828552246094 confidence bounds at 95%: [ 0.38096940517425537 , 0.4430471658706665 ] support: 0.11864406615495682 number of use :966 number of events to predict :3599 number of events predicted: 427 dataset range :99936.387513848851
Add condition [ gain:0.0030253134497515428 impList:1 first:0 loop:16 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="469" score="-9.3297637101131876" creationTime="5.2450000000000001" confidence = "0.34878820180892944" support = "0.098159506916999817" number_of_use = "949" number_of_events_to_predict = "3586" number_of_events_predicted = "352" datasetrange = "99988.185138863177" rulerange = "1.499250000016765" expConfidence = "0.052349827241910618" expSupport = "0.01412890713455861" baseconfidence = "0.34878820180892944" basesupport = "0.098159506916999817" basenumber_of_use = "949" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "352" basedatasetrange = "99988.185138863177" baserulerange = "1.499250000016765" baseexpConfidence = "0.052349827241910618" baseexpSupport = "0.01412890713455861" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167654" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.41200828552246094" oldsupport = "0.11864406615495682" oldnumber_of_use = "966" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "427" olddatasetrange = "99936.387513848851" oldrulerange = "1.499250000016765" oldexpConfidence = "0.052561032530939023" oldexpSupport = "0.014387577624102366" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167654" testexpConfidence = "-1" testexpSupport = "-1" parentId="62" entropyGain="0.0030253134497515428" type="2" split="-1" gaussian="-1" impList="1" firstElement="0" loop="16" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="119"/><i v="122"/><i v="141"/></values>
<bounds><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="59"/><i v="71"/><i v="72"/><i v="49"/><i v="48"/><i v="59"/></values>
<bounds><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
477
similarId: *none*
base
Show/Hide
confidence: 0.38881829380989075
confidence bounds at 95%: [ 0.35475966334342957 , 0.42287692427635193 ]
support: 0.089793644845485687
number of use :787
number of events to predict :3586
number of events predicted: 322
dataset range :99988.185138863177
rule range :3.9980000000447031
exp. confidence :0.13358224221953852
exp. support :0.030978623568891805
std. error exp. confidence :0.012126924415755099
std. error exp. support :0.0028932941898482563
dist. expected v1 :29.261033054042262
density v1 :4.7609449231309347e-187
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.1281702692700066e-097
density ln. v2 :-91.867578207211224
dist. expected v3 :21.095395132785747
density v3 :9.2678616248010765e-098
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :21.007813898205612
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :21.007813898205853
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.37864077091217041
confidence bounds at 95%: [ 0.34552174806594849 , 0.41175979375839233 ]
support: 0.090025007724761963
number of use :824
number of events to predict :3599
number of events predicted: 324
dataset range :99936.387513848851
rule range :3.9980000000447031
exp. confidence :0.13409708930982212
exp. support :0.032427720068249899
std. error exp. confidence :0.011870818627580096
std. error exp. support :0.0029526297629750673
dist. expected v1 :28.370834463380074
density v1 :6.5792039612816693e-176
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.4703585005039256e-093
density ln. v2 :-92.069760275569436
dist. expected v3 :20.629882022232771
density v3 :1.5302926469342574e-093
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :20.537905073397802
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :20.537905073397788
cum. density train v5 :0
cum. density test v5 :0
parentId:
474 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.3610161103237548
creation time: 5.2720000000000002
#id:477
a
← r (temp) [ -4.0079999998211857 -2.008999999798835 ]
( 48 97 89 120 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 130 114 108 139 )
BASE: confidence: 0.38881829380989075 confidence bounds at 95%: [ 0.35475966334342957 , 0.42287692427635193 ] support: 0.089793644845485687 number of use :787 number of events to predict :3586 number of events predicted: 322 dataset range :99988.185138863177
OLD: confidence: 0.37864077091217041 confidence bounds at 95%: [ 0.34552174806594849 , 0.41175979375839233 ] support: 0.090025007724761963 number of use :824 number of events to predict :3599 number of events predicted: 324 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="477" score="-9.3610161103237548" creationTime="5.2720000000000002" confidence = "0.38881829380989075" support = "0.089793644845485687" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "322" datasetrange = "99988.185138863177" rulerange = "3.9980000000447031" expConfidence = "0.13358224221953852" expSupport = "0.030978623568891805" baseconfidence = "0.38881829380989075" basesupport = "0.089793644845485687" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "322" basedatasetrange = "99988.185138863177" baserulerange = "3.9980000000447031" baseexpConfidence = "0.13358224221953852" baseexpSupport = "0.030978623568891805" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223507" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.37864077091217041" oldsupport = "0.090025007724761963" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "324" olddatasetrange = "99936.387513848851" oldrulerange = "3.9980000000447031" oldexpConfidence = "0.13409708930982212" oldexpSupport = "0.032427720068249899" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223507" testexpConfidence = "-1" testexpSupport = "-1" parentId="474" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="48"/><i v="97"/><i v="89"/><i v="120"/></values>
<bounds><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="132"/><i v="130"/><i v="114"/><i v="108"/><i v="139"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
544
similarId: *none*
base
Show/Hide
confidence: 0.36791545152664185
confidence bounds at 95%: [ 0.33862054347991943 , 0.39721035957336426 ]
support: 0.10011154413223267
number of use :1041
number of events to predict :3586
number of events predicted: 359
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :2.4595566884268067e-019
density ln. v2 :34.977118986938244
dist. expected v3 :-10.081787080987631
density v3 :3.3848284732269608e-023
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-9.6752959159240053
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-9.6752959159240568
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.35925197601318359
confidence bounds at 95%: [ 0.32974991202354431 , 0.38875404000282288 ]
support: 0.096971377730369568
number of use :1016
number of events to predict :3599
number of events predicted: 349
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :8.6515182850161969e-021
density ln. v2 :32.101503923820893
dist. expected v3 :-10.544715173674176
density v3 :2.85816481184091e-025
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-10.13129643090099
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-10.131296430900935
cum. density train v5 :1
cum. density test v5 :1
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.3645103730190691
creation time: 5.4800000000000004
#id:544
a
← r (temp) [ -2.008999999798835 -0.0099999997764825821 ]
( 112 102 103 88 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.36791545152664185 confidence bounds at 95%: [ 0.33862054347991943 , 0.39721035957336426 ] support: 0.10011154413223267 number of use :1041 number of events to predict :3586 number of events predicted: 359 dataset range :99988.185138863177
OLD: confidence: 0.35925197601318359 confidence bounds at 95%: [ 0.32974991202354431 , 0.38875404000282288 ] support: 0.096971377730369568 number of use :1016 number of events to predict :3599 number of events predicted: 349 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="544" score="-9.3645103730190691" creationTime="5.4800000000000004" confidence = "0.36791545152664185" support = "0.10011154413223267" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "359" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.36791545152664185" basesupport = "0.10011154413223267" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "359" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223525" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.35925197601318359" oldsupport = "0.096971377730369568" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "349" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223525" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="112"/><i v="102"/><i v="103"/><i v="88"/></values>
<bounds><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="53"/><i v="53"/><i v="50"/><i v="45"/><i v="52"/><i v="45"/><i v="56"/><i v="57"/><i v="43"/><i v="50"/><i v="48"/><i v="47"/><i v="45"/><i v="39"/><i v="51"/><i v="47"/><i v="55"/><i v="47"/><i v="44"/><i v="48"/></values>
<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
179
similarId: *none*
base
Show/Hide
confidence: 0.60209423303604126
confidence bounds at 95%: [ 0.56201666593551636 , 0.64217180013656616 ]
support: 0.10568878799676895
number of use :573
number of events to predict :3586
number of events predicted: 379
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :7.4933971015518024
density v1 :2.5578514146713038e-013
cum. density train v1 :6.7501559897209518e-010
cum. density test v1 :3.3750779948604759e-014
density v2 :3.312159072201754e-017
density ln. v2 :-45.155032514866676
dist. expected v3 :6.9267076500218341
density v3 :1.5217455365653243e-011
cum. density train v3 :4.3343105993187692e-008
cum. density test v3 :2.1671553440683056e-012
dist. expected v4 :6.8318212933515845
cum. density train v4 :8.4341419293032516e-008
cum. density test v4 :4.2170711367361946e-012
dist. expected v5 :6.8318212933515685
cum. density train v5 :8.4341419293032516e-008
cum. density test v5 :4.2170711367361946e-012
old
Show/Hide
confidence: 0.547535240650177
confidence bounds at 95%: [ 0.50660157203674316 , 0.58846890926361084 ]
support: 0.094192832708358765
number of use :568
number of events to predict :3599
number of events predicted: 339
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :4.3193204365350528
density v1 :3.5456532443207898e-005
cum. density train v1 :0.14497620254134624
cum. density test v1 :7.8312681928149885e-006
density v2 :1.1165792718339337e-006
density ln. v2 :-20.90815359260597
dist. expected v3 :4.2079351337818567
density v3 :5.7009218321765481e-005
cum. density train v3 :0.22731165041362023
cum. density test v3 :1.2893890957821341e-005
dist. expected v4 :4.1511331210334239
cum. density train v4 :0.28181583411432143
cum. density test v4 :1.6551325244140713e-005
dist. expected v5 :4.1511331210334239
cum. density train v5 :0.28181583411432143
cum. density test v5 :1.6551325244140713e-005
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.3652814129899191
creation time: 4.3470000000000004
#id:179
a
← r (temp) [ -20 -4.0079999998211857 ]
( 14 11 12 13 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 9 16 15 13 17 10 16 24 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.60209423303604126 confidence bounds at 95%: [ 0.56201666593551636 , 0.64217180013656616 ] support: 0.10568878799676895 number of use :573 number of events to predict :3586 number of events predicted: 379 dataset range :99988.185138863177
OLD: confidence: 0.547535240650177 confidence bounds at 95%: [ 0.50660157203674316 , 0.58846890926361084 ] support: 0.094192832708358765 number of use :568 number of events to predict :3599 number of events predicted: 339 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="179" score="-9.3652814129899191" creationTime="4.3470000000000004" confidence = "0.60209423303604126" support = "0.10568878799676895" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "379" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.60209423303604126" basesupport = "0.10568878799676895" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "379" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.992000000178814" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.547535240650177" oldsupport = "0.094192832708358765" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "339" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.992000000178814" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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</condition>
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Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
101
similarId:
106 ,
107 ,
109 ,
111
base
Show/Hide
confidence: 0.61464357376098633
confidence bounds at 95%: [ 0.57277238368988037 , 0.65651476383209229 ]
support: 0.098996095359325409
number of use :519
number of events to predict :3586
number of events predicted: 355
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :9.2328198052687895
density v1 :1.2308407289962325e-019
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.454316362767901e-021
density ln. v2 :-54.140339907687036
dist. expected v3 :8.1410779746719797
density v3 :1.618116092792886e-015
cum. density train v3 :4.4408920985006262e-012
cum. density test v3 :2.2204460492503131e-016
dist. expected v4 :8.0540092888585981
cum. density train v4 :8.8817841970012523e-012
cum. density test v4 :4.4408920985006262e-016
dist. expected v5 :8.0540092888586106
cum. density train v5 :8.8817841970012523e-012
cum. density test v5 :4.4408920985006262e-016
old
Show/Hide
confidence: 0.56143665313720703
confidence bounds at 95%: [ 0.51915085315704346 , 0.60372245311737061 ]
support: 0.091414280235767365
number of use :529
number of events to predict :3599
number of events predicted: 329
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :6.1557526935290401
density v1 :2.3576885044454211e-009
cum. density train v1 :7.5018643587165812e-006
cum. density test v1 :3.7509462202933719e-010
density v2 :4.8634451286892502e-010
density ln. v2 :-28.556225765033503
dist. expected v3 :5.6771396182656142
density v3 :4.0019633896538644e-008
cum. density train v3 :0.00013734457849301496
cum. density test v3 :6.8677005193862328e-009
dist. expected v4 :5.6144667422286272
cum. density train v4 :0.00019768244704254645
cum. density test v4 :9.885099405693154e-009
dist. expected v5 :5.6144667422286227
cum. density train v5 :0.00019768244704254645
cum. density test v5 :9.885099405693154e-009
parentId:
31 [Interactive]
creation: Add condition [ gain:0.0063278650732512274 impList:1 first:1 loop:2 ]
number of condition: 2
score: -9.4136036137650656
creation time: 4.1559999999999997
#id:101
a
← r (temp) [ -20 -4.0079999998211857 ]
( 14 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
BASE: confidence: 0.61464357376098633 confidence bounds at 95%: [ 0.57277238368988037 , 0.65651476383209229 ] support: 0.098996095359325409 number of use :519 number of events to predict :3586 number of events predicted: 355 dataset range :99988.185138863177
OLD: confidence: 0.56143665313720703 confidence bounds at 95%: [ 0.51915085315704346 , 0.60372245311737061 ] support: 0.091414280235767365 number of use :529 number of events to predict :3599 number of events predicted: 329 dataset range :99936.387513848851
Add condition [ gain:0.0063278650732512274 impList:1 first:1 loop:2 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="101" score="-9.4136036137650656" creationTime="4.1559999999999997" confidence = "0.61464357376098633" support = "0.098996095359325409" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "355" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.61464357376098633" basesupport = "0.098996095359325409" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "355" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.992000000178814" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.56143665313720703" oldsupport = "0.091414280235767365" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "329" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.992000000178814" testexpConfidence = "-1" testexpSupport = "-1" parentId="31" entropyGain="0.0063278650732512274" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="2" threathold="-1" >
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<i v="107" />
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<i v="111" />
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
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</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
184
similarId: *none*
base
Show/Hide
confidence: 0.59511345624923706
confidence bounds at 95%: [ 0.55492091178894043 , 0.63530600070953369 ]
support: 0.1037367507815361
number of use :573
number of events to predict :3586
number of events predicted: 372
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :7.0413646652497004
density v1 :6.8323891052590156e-012
cum. density train v1 :1.9162449294007899e-008
cum. density test v1 :9.5812247025151009e-013
density v2 :5.9463830761319093e-016
density ln. v2 :-42.373210457913672
dist. expected v3 :6.5849585234564572
density v3 :1.531232579992653e-010
cum. density train v3 :4.5736737563917274e-007
cum. density test v3 :2.2868373861228974e-011
dist. expected v4 :6.4947536592287163
cum. density train v4 :8.3577998977180101e-007
cum. density test v4 :4.1789016691495817e-011
dist. expected v5 :6.4947536592287003
cum. density train v5 :8.3577998977180101e-007
cum. density test v5 :4.1789016691495817e-011
old
Show/Hide
confidence: 0.52464789152145386
confidence bounds at 95%: [ 0.48357799649238586 , 0.56571781635284424 ]
support: 0.090302862226963043
number of use :568
number of events to predict :3599
number of events predicted: 325
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :3.2018136922462697
density v1 :0.0023702875712103698
cum. density train v1 :0.9999988346352201
cum. density test v1 :0.00068289054425396678
density v2 :0.001162203882255676
density ln. v2 :-13.581641835338718
dist. expected v3 :3.1110293403215383
density v3 :0.0031568192922755596
cum. density train v3 :0.9999999920785595
cum. density test v3 :0.00093224982286221891
dist. expected v4 :3.0690342233267391
cum. density train v4 :0.99999999953459517
cum. density test v4 :0.0010738287033544847
dist. expected v5 :3.0690342233267391
cum. density train v5 :0.99999999953459517
cum. density test v5 :0.0010738287033544847
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.4174655912622534
creation time: 4.359
#id:184
a
← r (temp) [ -19.500249999994409 -4.0079999998211857 ]
( 11 12 13 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 9 16 15 13 17 10 16 24 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.59511345624923706 confidence bounds at 95%: [ 0.55492091178894043 , 0.63530600070953369 ] support: 0.1037367507815361 number of use :573 number of events to predict :3586 number of events predicted: 372 dataset range :99988.185138863177
OLD: confidence: 0.52464789152145386 confidence bounds at 95%: [ 0.48357799649238586 , 0.56571781635284424 ] support: 0.090302862226963043 number of use :568 number of events to predict :3599 number of events predicted: 325 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="184" score="-9.4174655912622534" creationTime="4.359" confidence = "0.59511345624923706" support = "0.1037367507815361" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "372" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.59511345624923706" basesupport = "0.1037367507815361" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "372" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.492250000173224" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.52464789152145386" oldsupport = "0.090302862226963043" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "325" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.492250000173224" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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<bounds><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
185
similarId: *none*
base
Show/Hide
confidence: 0.59511345624923706
confidence bounds at 95%: [ 0.55492091178894043 , 0.63530600070953369 ]
support: 0.10513106733560562
number of use :573
number of events to predict :3586
number of events predicted: 377
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :7.1389121642698337
density v1 :3.4213976532896414e-012
cum. density train v1 :9.4724228461018356e-009
cum. density test v1 :4.7362114230509178e-013
density v2 :3.5511621448295322e-015
density ln. v2 :-40.45399047414822
dist. expected v3 :6.5953991229948343
density v3 :1.429418332360565e-010
cum. density train v3 :4.2632333296932501e-007
cum. density test v3 :2.1316171050500543e-011
dist. expected v4 :6.5050512369302105
cum. density train v4 :7.8050868890233716e-007
cum. density test v4 :3.9025449538598878e-011
dist. expected v5 :6.5050512369301945
cum. density train v5 :7.8050868890233716e-007
cum. density test v5 :3.9025449538598878e-011
old
Show/Hide
confidence: 0.51936620473861694
confidence bounds at 95%: [ 0.47827717661857605 , 0.56045526266098022 ]
support: 0.090858571231365204
number of use :568
number of events to predict :3599
number of events predicted: 327
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :2.9491543443094561
density v1 :0.0051554843609275518
cum. density train v1 :0.9999999999999859
cum. density test v1 :0.0015932925301216372
density v2 :0.014687639434210713
density ln. v2 :-11.220007197689494
dist. expected v3 :2.8686036806359065
density v3 :0.0065167332004477854
cum. density train v3 :1
cum. density test v3 :0.0020615055850140562
dist. expected v4 :2.8298810155621128
cum. density train v4 :1
cum. density test v4 :0.0023283287242281681
dist. expected v5 :2.8298810155621128
cum. density train v5 :1
cum. density test v5 :0.0023283287242281681
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.4225114087174582
creation time: 4.3630000000000004
#id:185
a
← r (temp) [ -19.500249999994409 -3.5082499998155972 ]
( 11 12 13 21 8 18 20 0 16 18 19 13 22 13 11 17 10 13 20 0 12 18 12 0 16 15 13 17 10 16 24 39 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.59511345624923706 confidence bounds at 95%: [ 0.55492091178894043 , 0.63530600070953369 ] support: 0.10513106733560562 number of use :573 number of events to predict :3586 number of events predicted: 377 dataset range :99988.185138863177
OLD: confidence: 0.51936620473861694 confidence bounds at 95%: [ 0.47827717661857605 , 0.56045526266098022 ] support: 0.090858571231365204 number of use :568 number of events to predict :3599 number of events predicted: 327 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="185" score="-9.4225114087174582" creationTime="4.3630000000000004" confidence = "0.59511345624923706" support = "0.10513106733560562" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "377" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.59511345624923706" basesupport = "0.10513106733560562" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "377" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.992000000178813" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.51936620473861694" oldsupport = "0.090858571231365204" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "327" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.992000000178813" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
722
similarId: *none*
base
Show/Hide
confidence: 0.41280001401901245
confidence bounds at 95%: [ 0.37420076131820679 , 0.45139926671981812 ]
support: 0.077244840562343597
number of use :625
number of events to predict :3586
number of events predicted: 277
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.00075418179510694603
density ln. v2 :10.468612226522055
dist. expected v3 :-5.1449533672795527
density v3 :7.1269583320686238e-007
cum. density train v3 :1
cum. density test v3 :0.99999986596356083
dist. expected v4 :-5.043337890714767
cum. density train v4 :1
cum. density test v4 :0.99999977088251457
dist. expected v5 :-5.0433378907147821
cum. density train v5 :1
cum. density test v5 :0.99999977088251457
old
Show/Hide
confidence: 0.37229436635971069
confidence bounds at 95%: [ 0.33630198240280151 , 0.40828675031661987 ]
support: 0.075576551258563995
number of use :693
number of events to predict :3599
number of events predicted: 272
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :3.0935067060654425e-010
density ln. v2 :13.517092770646027
dist. expected v3 :-7.6844609555443055
density v3 :6.0001392666650131e-014
cum. density train v3 :1
cum. density test v3 :0.99999999999999223
dist. expected v4 :-7.5064076161694979
cum. density train v4 :1
cum. density test v4 :0.99999999999996936
dist. expected v5 :-7.5064076161694713
cum. density train v5 :1
cum. density test v5 :0.99999999999996936
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.4226797379482665
creation time: 6.056
#id:722
a
← r (temp) [ -4.0079999998211857 -2.008999999798835 ]
( 39 79 76 111 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.41280001401901245 confidence bounds at 95%: [ 0.37420076131820679 , 0.45139926671981812 ] support: 0.077244840562343597 number of use :625 number of events to predict :3586 number of events predicted: 277 dataset range :99988.185138863177
OLD: confidence: 0.37229436635971069 confidence bounds at 95%: [ 0.33630198240280151 , 0.40828675031661987 ] support: 0.075576551258563995 number of use :693 number of events to predict :3599 number of events predicted: 272 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="722" score="-9.4226797379482665" creationTime="6.056" confidence = "0.41280001401901245" support = "0.077244840562343597" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "277" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.41280001401901245" basesupport = "0.077244840562343597" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "277" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223507" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.37229436635971069" oldsupport = "0.075576551258563995" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "272" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223507" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="39"/><i v="79"/><i v="76"/><i v="111"/></values>
<bounds><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
584
similarId:
589 ,
590 ,
592 ,
594
base
Show/Hide
confidence: 0.61464357376098633
confidence bounds at 95%: [ 0.57277238368988037 , 0.65651476383209229 ]
support: 0.098996095359325409
number of use :519
number of events to predict :3586
number of events predicted: 355
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :9.2328198052687895
density v1 :1.2308407289962325e-019
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.454316362767901e-021
density ln. v2 :-54.140339907687036
dist. expected v3 :8.1410779746719797
density v3 :1.618116092792886e-015
cum. density train v3 :4.4408920985006262e-012
cum. density test v3 :2.2204460492503131e-016
dist. expected v4 :8.0540092888585981
cum. density train v4 :8.8817841970012523e-012
cum. density test v4 :4.4408920985006262e-016
dist. expected v5 :8.0540092888586106
cum. density train v5 :8.8817841970012523e-012
cum. density test v5 :4.4408920985006262e-016
old
Show/Hide
confidence: 0.56143665313720703
confidence bounds at 95%: [ 0.51915085315704346 , 0.60372245311737061 ]
support: 0.091414280235767365
number of use :529
number of events to predict :3599
number of events predicted: 329
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :6.1557526935290401
density v1 :2.3576885044454211e-009
cum. density train v1 :7.5018643587165812e-006
cum. density test v1 :3.7509462202933719e-010
density v2 :4.8634451286892502e-010
density ln. v2 :-28.556225765033503
dist. expected v3 :5.6771396182656142
density v3 :4.0019633896538644e-008
cum. density train v3 :0.00013734457849301496
cum. density test v3 :6.8677005193862328e-009
dist. expected v4 :5.6144667422286272
cum. density train v4 :0.00019768244704254645
cum. density test v4 :9.885099405693154e-009
dist. expected v5 :5.6144667422286227
cum. density train v5 :0.00019768244704254645
cum. density test v5 :9.885099405693154e-009
parentId:
514 [Interactive]
creation: Add condition [ gain:0.0078382913390832032 impList:2 first:0 loop:21 ]
number of condition: 3
score: -9.454150126368825
creation time: 5.6799999999999997
#id:584
a
← r (temp) [ -20 -4.0079999998211857 ]
( 14 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.61464357376098633 confidence bounds at 95%: [ 0.57277238368988037 , 0.65651476383209229 ] support: 0.098996095359325409 number of use :519 number of events to predict :3586 number of events predicted: 355 dataset range :99988.185138863177
OLD: confidence: 0.56143665313720703 confidence bounds at 95%: [ 0.51915085315704346 , 0.60372245311737061 ] support: 0.091414280235767365 number of use :529 number of events to predict :3599 number of events predicted: 329 dataset range :99936.387513848851
Add condition [ gain:0.0078382913390832032 impList:2 first:0 loop:21 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="584" score="-9.454150126368825" creationTime="5.6799999999999997" confidence = "0.61464357376098633" support = "0.098996095359325409" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "355" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.61464357376098633" basesupport = "0.098996095359325409" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "355" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.992000000178814" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.56143665313720703" oldsupport = "0.091414280235767365" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "329" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.992000000178814" testexpConfidence = "-1" testexpSupport = "-1" parentId="514" entropyGain="0.0078382913390832032" type="2" split="-1" gaussian="-1" impList="2" firstElement="0" loop="21" threathold="-1" >
<similarId>
<i v="589" />
<i v="590" />
<i v="592" />
<i v="594" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
440
similarId:
488
base
Show/Hide
confidence: 0.38500633835792542
confidence bounds at 95%: [ 0.3510095477104187 , 0.41900312900543213 ]
support: 0.087283879518508911
number of use :787
number of events to predict :3586
number of events predicted: 313
dataset range :99988.185138863177
rule range :4.4977500000502921
exp. confidence :0.1489734918855965
exp. support :0.03478294105612556
std. error exp. confidence :0.012692251716012746
std. error exp. support :0.003059782118249229
dist. expected v1 :25.303048537841747
density v1 :3.746574035137472e-140
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.0618389457800663e-076
density ln. v2 :-84.559679869026439
dist. expected v3 :18.608158431117982
density v3 :2.5747396843501847e-076
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :18.520440069055844
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :18.520440069055887
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.4186893105506897
confidence bounds at 95%: [ 0.38500383496284485 , 0.45237478613853455 ]
support: 0.10058349370956421
number of use :824
number of events to predict :3599
number of events predicted: 362
dataset range :99936.387513848851
rule range :4.4977500000502921
exp. confidence :0.14954238623096183
exp. support :0.036406626687261134
std. error exp. confidence :0.012423526311352722
std. error exp. support :0.0031220956148405505
dist. expected v1 :29.864335098140749
density v1 :8.5497254695919107e-195
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.9330989661160747e-105
density ln. v2 :-112.50362500118992
dist. expected v3 :21.709034669352064
density v3 :1.8335113660627807e-103
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :21.599154985534383
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :21.599154985534394
cum. density train v5 :0
cum. density test v5 :0
parentId:
416 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.4571226395595964
creation time: 5.1200000000000001
#id:440
a
← r (temp) [ -2.5087499998044218 -0.50974999978206981 ]
( 120 110 0 103 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
BASE: confidence: 0.38500633835792542 confidence bounds at 95%: [ 0.3510095477104187 , 0.41900312900543213 ] support: 0.087283879518508911 number of use :787 number of events to predict :3586 number of events predicted: 313 dataset range :99988.185138863177
OLD: confidence: 0.4186893105506897 confidence bounds at 95%: [ 0.38500383496284485 , 0.45237478613853455 ] support: 0.10058349370956421 number of use :824 number of events to predict :3599 number of events predicted: 362 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="440" score="-9.4571226395595964" creationTime="5.1200000000000001" confidence = "0.38500633835792542" support = "0.087283879518508911" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "313" datasetrange = "99988.185138863177" rulerange = "4.4977500000502921" expConfidence = "0.1489734918855965" expSupport = "0.03478294105612556" baseconfidence = "0.38500633835792542" basesupport = "0.087283879518508911" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "313" basedatasetrange = "99988.185138863177" baserulerange = "4.4977500000502921" baseexpConfidence = "0.1489734918855965" baseexpSupport = "0.03478294105612556" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.999000000022352" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4186893105506897" oldsupport = "0.10058349370956421" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "362" olddatasetrange = "99936.387513848851" oldrulerange = "4.4977500000502921" oldexpConfidence = "0.14954238623096183" oldexpSupport = "0.036406626687261134" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.999000000022352" testexpConfidence = "-1" testexpSupport = "-1" parentId="416" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="488" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="120"/><i v="110"/><i v="0"/><i v="103"/></values>
<bounds><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="132"/><i v="131"/><i v="114"/><i v="112"/><i v="141"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
467
similarId: *none*
base
Show/Hide
confidence: 0.43612334132194519
confidence bounds at 95%: [ 0.39050653576850891 , 0.48174014687538147 ]
support: 0.058839932084083557
number of use :454
number of events to predict :3586
number of events predicted: 211
dataset range :99988.185138863177
rule range :3.4982500000391181
exp. confidence :0.11791271295582006
exp. support :0.015758720785927549
std. error exp. confidence :0.015135897252460622
std. error exp. support :0.0020797260202561237
dist. expected v1 :29.514328260948815
density v1 :2.7855428905241288e-190
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.2548227573350505e-099
density ln. v2 :-112.46656536221852
dist. expected v3 :21.046579085464888
density v3 :2.59236318632089e-097
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :21.017109387597156
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :21.017109387597095
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.41988950967788696
confidence bounds at 95%: [ 0.37837699055671692 , 0.46140202879905701 ]
support: 0.068630173802375793
number of use :543
number of events to predict :3599
number of events predicted: 247
dataset range :99936.387513848851
rule range :3.4982500000391181
exp. confidence :0.11837136723035968
exp. support :0.018828410026729636
std. error exp. confidence :0.013863288473948904
std. error exp. support :0.0022656268489717368
dist. expected v1 :30.922812828793791
density v1 :9.1263814541355255e-209
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.5331036570408735e-104
density ln. v2 :-98.326083413581728
dist. expected v3 :21.795258978858222
density v3 :2.8101957994173899e-104
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :21.753347599849132
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :21.753347599849274
cum. density train v5 :0
cum. density test v5 :0
parentId:
446 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -9.5000156517940937
creation time: 5.2160000000000002
#id:467
a
← r (temp) [ -2.5087499998044218 -1.009499999787657 ]
( 88 74 64 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
← r (temp) [ -1.991000000201165 -0.49025000021793019 ]
( 95 101 120 )
BASE: confidence: 0.43612334132194519 confidence bounds at 95%: [ 0.39050653576850891 , 0.48174014687538147 ] support: 0.058839932084083557 number of use :454 number of events to predict :3586 number of events predicted: 211 dataset range :99988.185138863177
OLD: confidence: 0.41988950967788696 confidence bounds at 95%: [ 0.37837699055671692 , 0.46140202879905701 ] support: 0.068630173802375793 number of use :543 number of events to predict :3599 number of events predicted: 247 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="467" score="-9.5000156517940937" creationTime="5.2160000000000002" confidence = "0.43612334132194519" support = "0.058839932084083557" number_of_use = "454" number_of_events_to_predict = "3586" number_of_events_predicted = "211" datasetrange = "99988.185138863177" rulerange = "3.4982500000391181" expConfidence = "0.11791271295582006" expSupport = "0.015758720785927549" baseconfidence = "0.43612334132194519" basesupport = "0.058839932084083557" basenumber_of_use = "454" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "211" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391181" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.015758720785927549" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167648" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.41988950967788696" oldsupport = "0.068630173802375793" oldnumber_of_use = "543" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "247" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391181" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.018828410026729636" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167648" testexpConfidence = "-1" testexpSupport = "-1" parentId="446" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="88"/><i v="74"/><i v="64"/></values>
<bounds><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="132"/><i v="131"/><i v="114"/><i v="112"/><i v="141"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="95"/><i v="101"/><i v="120"/></values>
<bounds><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
48
similarId: *none*
base
Show/Hide
confidence: 0.19699999690055847
confidence bounds at 95%: [ 0.18693597614765167 , 0.20706401765346527 ]
support: 0.31483545899391174
number of use :6000
number of events to predict :3586
number of events predicted: 1129
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :-48.252723158119942
dist. expected v3 :-39.033645188650098
density v3 :0
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-49.014064597106909
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-49.014064597105893
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.18899999558925629
confidence bounds at 95%: [ 0.17909346520900726 , 0.19890652596950531 ]
support: 0.30425119400024414
number of use :6000
number of events to predict :3599
number of events predicted: 1095
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :-62.250706749983685
dist. expected v3 :-40.273687696526409
density v3 :0
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-50.493095017587734
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-50.493095017588843
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -9.5022631443966326
creation time: 3.5790000000000002
#id:48
a
← r (temp) [ -5.0074999998323619 -3.0084999998100099 ]
( 114 122 393 637 )
BASE: confidence: 0.19699999690055847 confidence bounds at 95%: [ 0.18693597614765167 , 0.20706401765346527 ] support: 0.31483545899391174 number of use :6000 number of events to predict :3586 number of events predicted: 1129 dataset range :99988.185138863177
OLD: confidence: 0.18899999558925629 confidence bounds at 95%: [ 0.17909346520900726 , 0.19890652596950531 ] support: 0.30425119400024414 number of use :6000 number of events to predict :3599 number of events predicted: 1095 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="48" score="-9.5022631443966326" creationTime="3.5790000000000002" confidence = "0.19699999690055847" support = "0.31483545899391174" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "1129" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.19699999690055847" basesupport = "0.31483545899391174" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "1129" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.999000000022352" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.18899999558925629" oldsupport = "0.30425119400024414" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "1095" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.999000000022352" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="114"/><i v="122"/><i v="393"/><i v="637"/></values>
<bounds><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
71
similarId: *none*
base
Show/Hide
confidence: 0.76847290992736816
confidence bounds at 95%: [ 0.71044683456420898 , 0.82649898529052734 ]
support: 0.061070829629898071
number of use :203
number of events to predict :3586
number of events predicted: 219
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.039775869445696443
std. error exp. confidence :0.035083372367853513
std. error exp. support :0.0032635555244750571
dist. expected v1 :9.8034861863162437
density v1 :5.3857835713221703e-022
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.0306620218949947e-016
density ln. v2 :-41.283258712728063
dist. expected v3 :7.3274137062717744
density v3 :8.7510339953775994e-013
cum. density train v3 :2.3647750424515834e-009
cum. density test v3 :1.1823875212257917e-013
dist. expected v4 :7.3075958374042935
cum. density train v4 :2.7400304247748863e-009
cum. density test v4 :1.3700152123874432e-013
dist. expected v5 :7.3075958374042962
cum. density train v5 :2.7400304247748863e-009
cum. density test v5 :1.3700152123874432e-013
old
Show/Hide
confidence: 0.74407583475112915
confidence bounds at 95%: [ 0.68519431352615356 , 0.80295735597610474 ]
support: 0.065573766827583313
number of use :211
number of events to predict :3599
number of events predicted: 236
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.041331532025280615
std. error exp. confidence :0.034409361896585826
std. error exp. support :0.0033180585855830573
dist. expected v1 :9.919007749597581
density v1 :1.7238775523083553e-022
cum. density train v1 :0
cum. density test v1 :0
density v2 :7.7361053360055835e-010
density ln. v2 :-22.683870060511964
dist. expected v3 :6.726899804665786
density v3 :5.9530696776075005e-011
cum. density train v3 :1.7428723664281165e-007
cum. density test v3 :8.7143625648877787e-012
dist. expected v4 :6.7073385640441154
cum. density train v4 :1.9930721839589438e-007
cum. density test v4 :9.9653618690354051e-012
dist. expected v5 :6.707338564044111
cum. density train v5 :1.9930721839589438e-007
cum. density test v5 :9.9653618690354051e-012
parentId:
63 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.5170171219496424
creation time: 4.117
#id:71
a
← j (temp) [ -20 -3.5082499998155972 ]
( 6 10 8 13 8 4 4 6 4 8 2 14 3 7 8 5 6 6 8 7 6 12 8 9 8 4 8 10 2 4 8 12 7 )
← r (temp) [ -3.992000000178813 -0.49025000021793019 ]
( 19 34 19 26 24 40 32 )
BASE: confidence: 0.76847290992736816 confidence bounds at 95%: [ 0.71044683456420898 , 0.82649898529052734 ] support: 0.061070829629898071 number of use :203 number of events to predict :3586 number of events predicted: 219 dataset range :99988.185138863177
OLD: confidence: 0.74407583475112915 confidence bounds at 95%: [ 0.68519431352615356 , 0.80295735597610474 ] support: 0.065573766827583313 number of use :211 number of events to predict :3599 number of events predicted: 236 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="71" score="-9.5170171219496424" creationTime="4.117" confidence = "0.76847290992736816" support = "0.061070829629898071" number_of_use = "203" number_of_events_to_predict = "3586" number_of_events_predicted = "219" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.039775869445696443" baseconfidence = "0.76847290992736816" basesupport = "0.061070829629898071" basenumber_of_use = "203" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "219" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.039775869445696443" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "16.491750000184403" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.74407583475112915" oldsupport = "0.065573766827583313" oldnumber_of_use = "211" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "236" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.041331532025280615" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "16.491750000184403" testexpConfidence = "-1" testexpSupport = "-1" parentId="63" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="6"/><i v="10"/><i v="8"/><i v="13"/><i v="8"/><i v="4"/><i v="4"/><i v="6"/><i v="4"/><i v="8"/><i v="2"/><i v="14"/><i v="3"/><i v="7"/><i v="8"/><i v="5"/><i v="6"/><i v="6"/><i v="8"/><i v="7"/><i v="6"/><i v="12"/><i v="8"/><i v="9"/><i v="8"/><i v="4"/><i v="8"/><i v="10"/><i v="2"/><i v="4"/><i v="8"/><i v="12"/><i v="7"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
366
similarId:
401
base
Show/Hide
confidence: 0.36213469505310059
confidence bounds at 95%: [ 0.3285556435585022 , 0.39571374654769897 ]
support: 0.082543224096298218
number of use :787
number of events to predict :3586
number of events predicted: 296
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :33.672267160590962
density v1 :2.4813222147677546e-247
cum. density train v1 :0
cum. density test v1 :0
density v2 :9.3324389767866436e-128
density ln. v2 :-109.30670270158653
dist. expected v3 :24.161845713594499
density v3 :6.7839479517990925e-128
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :24.087987003246905
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :24.087987003246507
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.44296115636825562
confidence bounds at 95%: [ 0.40904411673545837 , 0.47687819600105286 ]
support: 0.10975270718336105
number of use :824
number of events to predict :3599
number of events predicted: 395
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :46.263949726769646
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :7.0000208511186772e-231
density ln. v2 :-195.89948800142122
dist. expected v3 :32.406141198349054
density v3 :3.6475440523966909e-229
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :32.299728377672444
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :32.299728377672707
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.5261023636776407
creation time: 4.8259999999999996
#id:366
a
← r (temp) [ -2.008999999798835 -0.50974999978206981 ]
( 110 106 103 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.36213469505310059 confidence bounds at 95%: [ 0.3285556435585022 , 0.39571374654769897 ] support: 0.082543224096298218 number of use :787 number of events to predict :3586 number of events predicted: 296 dataset range :99988.185138863177
OLD: confidence: 0.44296115636825562 confidence bounds at 95%: [ 0.40904411673545837 , 0.47687819600105286 ] support: 0.10975270718336105 number of use :824 number of events to predict :3599 number of events predicted: 395 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="366" score="-9.5261023636776407" creationTime="4.8259999999999996" confidence = "0.36213469505310059" support = "0.082543224096298218" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "296" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.36213469505310059" basesupport = "0.082543224096298218" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "296" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167652" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.44296115636825562" oldsupport = "0.10975270718336105" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "395" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167652" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="401" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="110"/><i v="106"/><i v="103"/></values>
<bounds><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
74
similarId: *none*
base
Show/Hide
confidence: 0.75369459390640259
confidence bounds at 95%: [ 0.69442355632781982 , 0.81296563148498535 ]
support: 0.066369213163852692
number of use :203
number of events to predict :3586
number of events predicted: 238
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.039775869445696443
std. error exp. confidence :0.035083372367853513
std. error exp. support :0.0032635555244750571
dist. expected v1 :10.674479976459185
density v1 :7.2139200566632728e-026
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.700295173817968e-010
density ln. v2 :-20.887652342136295
dist. expected v3 :6.9160470186171299
density v3 :1.6382757353582063e-011
cum. density train v3 :4.6731506664343669e-008
cum. density test v3 :2.3365753776261045e-012
dist. expected v4 :6.8973417402760191
cum. density train v4 :5.3310688086227742e-008
cum. density test v4 :2.6655344598225383e-012
dist. expected v5 :6.8973417402760218
cum. density train v5 :5.3310688086227742e-008
cum. density test v5 :2.6655344598225383e-012
old
Show/Hide
confidence: 0.74407583475112915
confidence bounds at 95%: [ 0.68519431352615356 , 0.80295735597610474 ]
support: 0.066407337784767151
number of use :211
number of events to predict :3599
number of events predicted: 239
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.041331532025280615
std. error exp. confidence :0.034409361896585826
std. error exp. support :0.0033180585855830573
dist. expected v1 :10.105481982929867
density v1 :2.6648174387773251e-023
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.7527811630968342e-009
density ln. v2 :-20.998489465425365
dist. expected v3 :6.728315195501585
density v3 :5.8966524275162562e-011
cum. density train v3 :1.7260413875952452e-007
cum. density test v3 :8.6302076596211919e-012
dist. expected v4 :6.7087498390462432
cum. density train v4 :1.9738875323138672e-007
cum. density test v4 :9.8694385997077916e-012
dist. expected v5 :6.7087498390462397
cum. density train v5 :1.9738875323138672e-007
cum. density test v5 :9.8694385997077916e-012
parentId:
63 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.5427014294262147
creation time: 4.1210000000000004
#id:74
a
← j (temp) [ -20 -1.509249999793248 ]
( 6 10 8 13 8 4 4 6 4 8 2 14 3 7 8 5 6 6 8 7 6 12 0 0 0 4 8 10 0 0 8 12 7 13 9 12 12 )
← r (temp) [ -3.992000000178813 -0.49025000021793019 ]
( 19 34 19 26 24 40 32 )
BASE: confidence: 0.75369459390640259 confidence bounds at 95%: [ 0.69442355632781982 , 0.81296563148498535 ] support: 0.066369213163852692 number of use :203 number of events to predict :3586 number of events predicted: 238 dataset range :99988.185138863177
OLD: confidence: 0.74407583475112915 confidence bounds at 95%: [ 0.68519431352615356 , 0.80295735597610474 ] support: 0.066407337784767151 number of use :211 number of events to predict :3599 number of events predicted: 239 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="74" score="-9.5427014294262147" creationTime="4.1210000000000004" confidence = "0.75369459390640259" support = "0.066369213163852692" number_of_use = "203" number_of_events_to_predict = "3586" number_of_events_predicted = "238" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.039775869445696443" baseconfidence = "0.75369459390640259" basesupport = "0.066369213163852692" basenumber_of_use = "203" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "238" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.039775869445696443" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.490750000206752" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.74407583475112915" oldsupport = "0.066407337784767151" oldnumber_of_use = "211" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "239" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.041331532025280615" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.490750000206752" testexpConfidence = "-1" testexpSupport = "-1" parentId="63" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="6"/><i v="10"/><i v="8"/><i v="13"/><i v="8"/><i v="4"/><i v="4"/><i v="6"/><i v="4"/><i v="8"/><i v="2"/><i v="14"/><i v="3"/><i v="7"/><i v="8"/><i v="5"/><i v="6"/><i v="6"/><i v="8"/><i v="7"/><i v="6"/><i v="12"/><i v="0"/><i v="0"/><i v="0"/><i v="4"/><i v="8"/><i v="10"/><i v="0"/><i v="0"/><i v="8"/><i v="12"/><i v="7"/><i v="13"/><i v="9"/><i v="12"/><i v="12"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
114
similarId: *none*
base
Show/Hide
confidence: 0.60115605592727661
confidence bounds at 95%: [ 0.55902838706970215 , 0.64328372478485107 ]
support: 0.095370888710021973
number of use :519
number of events to predict :3586
number of events predicted: 342
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :8.3232066096260731
density v1 :3.6130013341835341e-016
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.4300200562768623e-019
density ln. v2 :-48.832446445613733
dist. expected v3 :7.5106322325895762
density v3 :2.2476144495415621e-013
cum. density train v3 :5.9285909514983359e-010
cum. density test v3 :2.964295475749168e-014
dist. expected v4 :7.4303061529040972
cum. density train v4 :1.092459456231154e-009
cum. density test v4 :5.4622972811557702e-014
dist. expected v5 :7.430306152904107
cum. density train v5 :1.092459456231154e-009
cum. density test v5 :5.4622972811557702e-014
old
Show/Hide
confidence: 0.52741020917892456
confidence bounds at 95%: [ 0.48486557602882385 , 0.56995481252670288 ]
support: 0.08446791023015976
number of use :529
number of events to predict :3599
number of events predicted: 304
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :4.2151318655301289
density v1 :5.5307233399347583e-005
cum. density train v1 :0.22103823071536866
cum. density test v1 :1.2489587553066173e-005
density v2 :2.1713857936900735e-005
density ln. v2 :-18.106638170984546
dist. expected v3 :4.0867114273417595
density v3 :9.4251513030826944e-005
cum. density train v3 :0.35452474793072764
cum. density test v3 :2.1888180880003105e-005
dist. expected v4 :4.0415961094340114
cum. density train v4 :0.41207588284131469
cum. density test v4 :2.6557516936032144e-005
dist. expected v5 :4.0415961094340087
cum. density train v5 :0.41207588284131469
cum. density test v5 :2.6557516936032144e-005
parentId:
101 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.545220756362351
creation time: 4.1929999999999996
#id:114
a
← r (temp) [ -19.500249999994409 -4.0079999998211857 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 0 16 14 13 13 9 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
BASE: confidence: 0.60115605592727661 confidence bounds at 95%: [ 0.55902838706970215 , 0.64328372478485107 ] support: 0.095370888710021973 number of use :519 number of events to predict :3586 number of events predicted: 342 dataset range :99988.185138863177
OLD: confidence: 0.52741020917892456 confidence bounds at 95%: [ 0.48486557602882385 , 0.56995481252670288 ] support: 0.08446791023015976 number of use :529 number of events to predict :3599 number of events predicted: 304 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="114" score="-9.545220756362351" creationTime="4.1929999999999996" confidence = "0.60115605592727661" support = "0.095370888710021973" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "342" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.60115605592727661" basesupport = "0.095370888710021973" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "342" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.492250000173224" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.52741020917892456" oldsupport = "0.08446791023015976" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "304" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.492250000173224" testexpConfidence = "-1" testexpSupport = "-1" parentId="101" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
355
similarId: *none*
base
Show/Hide
confidence: 0.35959339141845703
confidence bounds at 95%: [ 0.3260657787322998 , 0.39312100410461426 ]
support: 0.082543224096298218
number of use :787
number of events to predict :3586
number of events predicted: 296
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :33.503898955259508
density v1 :7.0907183077850682e-245
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.0525412210908772e-124
density ln. v2 :-100.7433816328744
dist. expected v3 :23.937068710607544
density v3 :1.5106935694323422e-125
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :23.863897105862449
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :23.863897105862051
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.36043688654899597
confidence bounds at 95%: [ 0.32765388488769531 , 0.39321988821029663 ]
support: 0.085579328238964081
number of use :824
number of events to predict :3599
number of events predicted: 308
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :34.093103550074588
density v1 :1.5923886049707057e-253
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.8054759638704067e-131
density ln. v2 :-111.07625321193844
dist. expected v3 :24.482382689773686
density v3 :2.7903793790694239e-131
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :24.401989304366978
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :24.401989304367181
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.554271995635645
creation time: 4.7889999999999997
#id:355
a
← r (temp) [ -3.0084999998100099 -1.509249999793248 ]
( 89 120 110 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.35959339141845703 confidence bounds at 95%: [ 0.3260657787322998 , 0.39312100410461426 ] support: 0.082543224096298218 number of use :787 number of events to predict :3586 number of events predicted: 296 dataset range :99988.185138863177
OLD: confidence: 0.36043688654899597 confidence bounds at 95%: [ 0.32765388488769531 , 0.39321988821029663 ] support: 0.085579328238964081 number of use :824 number of events to predict :3599 number of events predicted: 308 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="355" score="-9.554271995635645" creationTime="4.7889999999999997" confidence = "0.35959339141845703" support = "0.082543224096298218" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "296" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.35959339141845703" basesupport = "0.082543224096298218" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "296" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167619" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.36043688654899597" oldsupport = "0.085579328238964081" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "308" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167619" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="89"/><i v="120"/><i v="110"/></values>
<bounds><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="111"/><i v="114"/><i v="93"/><i v="95"/><i v="121"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
371
similarId:
443
base
Show/Hide
confidence: 0.3557814359664917
confidence bounds at 95%: [ 0.32233291864395142 , 0.38922995328903198 ]
support: 0.083658672869205475
number of use :787
number of events to predict :3586
number of events predicted: 300
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :33.567029366930456
density v1 :8.5357573176743287e-246
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.413390407426611e-119
density ln. v2 :-77.804323977755104
dist. expected v3 :23.621555773367575
density v3 :2.7387297962716087e-122
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :23.549348638759351
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :23.549348638758961
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.43810680508613586
confidence bounds at 95%: [ 0.40422946214675903 , 0.4719841480255127 ]
support: 0.10891914367675781
number of use :824
number of events to predict :3599
number of events predicted: 392
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :45.711308579321056
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.3814642239521569e-223
density ln. v2 :-181.9154540252776
dist. expected v3 :31.952161391774272
density v3 :8.0625380498526481e-223
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :31.847239315443066
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :31.847239315443332
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.570055305572172
creation time: 4.8419999999999996
#id:371
a
← r (temp) [ -1.509249999793248 -0.0099999997764825821 ]
( 106 103 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.3557814359664917 confidence bounds at 95%: [ 0.32233291864395142 , 0.38922995328903198 ] support: 0.083658672869205475 number of use :787 number of events to predict :3586 number of events predicted: 300 dataset range :99988.185138863177
OLD: confidence: 0.43810680508613586 confidence bounds at 95%: [ 0.40422946214675903 , 0.4719841480255127 ] support: 0.10891914367675781 number of use :824 number of events to predict :3599 number of events predicted: 392 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="371" score="-9.570055305572172" creationTime="4.8419999999999996" confidence = "0.3557814359664917" support = "0.083658672869205475" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "300" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.3557814359664917" basesupport = "0.083658672869205475" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "300" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167654" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43810680508613586" oldsupport = "0.10891914367675781" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "392" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167654" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="443" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="106"/><i v="103"/><i v="118"/></values>
<bounds><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="111"/><i v="114"/><i v="93"/><i v="95"/><i v="121"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
597
similarId: *none*
base
Show/Hide
confidence: 0.60115605592727661
confidence bounds at 95%: [ 0.55902838706970215 , 0.64328372478485107 ]
support: 0.095370888710021973
number of use :519
number of events to predict :3586
number of events predicted: 342
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :8.3232066096260731
density v1 :3.6130013341835341e-016
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.4300200562768623e-019
density ln. v2 :-48.832446445613733
dist. expected v3 :7.5106322325895762
density v3 :2.2476144495415621e-013
cum. density train v3 :5.9285909514983359e-010
cum. density test v3 :2.964295475749168e-014
dist. expected v4 :7.4303061529040972
cum. density train v4 :1.092459456231154e-009
cum. density test v4 :5.4622972811557702e-014
dist. expected v5 :7.430306152904107
cum. density train v5 :1.092459456231154e-009
cum. density test v5 :5.4622972811557702e-014
old
Show/Hide
confidence: 0.52741020917892456
confidence bounds at 95%: [ 0.48486557602882385 , 0.56995481252670288 ]
support: 0.08446791023015976
number of use :529
number of events to predict :3599
number of events predicted: 304
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :4.2151318655301289
density v1 :5.5307233399347583e-005
cum. density train v1 :0.22103823071536866
cum. density test v1 :1.2489587553066173e-005
density v2 :2.1713857936900735e-005
density ln. v2 :-18.106638170984546
dist. expected v3 :4.0867114273417595
density v3 :9.4251513030826944e-005
cum. density train v3 :0.35452474793072764
cum. density test v3 :2.1888180880003105e-005
dist. expected v4 :4.0415961094340114
cum. density train v4 :0.41207588284131469
cum. density test v4 :2.6557516936032144e-005
dist. expected v5 :4.0415961094340087
cum. density train v5 :0.41207588284131469
cum. density test v5 :2.6557516936032144e-005
parentId:
584 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -9.5857672689661104
creation time: 5.7009999999999996
#id:597
a
← r (temp) [ -19.500249999994409 -4.0079999998211857 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 0 16 14 13 13 9 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.60115605592727661 confidence bounds at 95%: [ 0.55902838706970215 , 0.64328372478485107 ] support: 0.095370888710021973 number of use :519 number of events to predict :3586 number of events predicted: 342 dataset range :99988.185138863177
OLD: confidence: 0.52741020917892456 confidence bounds at 95%: [ 0.48486557602882385 , 0.56995481252670288 ] support: 0.08446791023015976 number of use :529 number of events to predict :3599 number of events predicted: 304 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="597" score="-9.5857672689661104" creationTime="5.7009999999999996" confidence = "0.60115605592727661" support = "0.095370888710021973" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "342" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.60115605592727661" basesupport = "0.095370888710021973" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "342" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.492250000173224" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.52741020917892456" oldsupport = "0.08446791023015976" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "304" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.492250000173224" testexpConfidence = "-1" testexpSupport = "-1" parentId="584" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
175
similarId:
177
base
Show/Hide
confidence: 0.57591623067855835
confidence bounds at 95%: [ 0.53545081615447998 , 0.61638164520263672 ]
support: 0.10039040446281433
number of use :573
number of events to predict :3586
number of events predicted: 360
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :5.9567166016476101
density v1 :7.8702589677148315e-009
cum. density train v1 :2.5824733188128945e-005
cum. density test v1 :1.2912533264852755e-009
density v2 :8.5082030638448254e-012
density ln. v2 :-32.853900391262464
dist. expected v3 :5.6602830826377639
density v3 :4.4032368709361994e-008
cum. density train v3 :0.00015153499518616442
cum. density test v3 :7.5773238794596409e-009
dist. expected v4 :5.5827449986633315
cum. density train v4 :0.0002373474474388626
cum. density test v4 :1.1868780847024141e-008
dist. expected v5 :5.5827449986633182
cum. density train v5 :0.0002373474474388626
cum. density test v5 :1.1868780847024141e-008
old
Show/Hide
confidence: 0.52288734912872314
confidence bounds at 95%: [ 0.48181056976318359 , 0.5639641284942627 ]
support: 0.089747153222560883
number of use :568
number of events to predict :3599
number of events predicted: 323
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :3.1175948600338188
density v1 :0.0030929269949883094
cum. density train v1 :0.99999998805549595
cum. density test v1 :0.00091173384692644355
density v2 :0.0014682391037983621
density ln. v2 :-13.24816004700747
dist. expected v3 :3.0247637506712302
density v3 :0.0041132722190364776
cum. density train v3 :0.99999999998464562
cum. density test v3 :0.0012442063011741666
dist. expected v4 :2.9839331143462329
cum. density train v4 :0.99999999999957156
cum. density test v4 :0.0014229139846280159
dist. expected v5 :2.9839331143462329
cum. density train v5 :0.99999999999957156
cum. density test v5 :0.0014229139846280159
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.6142038343652807
creation time: 4.3390000000000004
#id:175
a
← r (temp) [ -20 -4.5077499998267747 ]
( 14 11 12 13 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 9 16 15 13 17 10 16 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.57591623067855835 confidence bounds at 95%: [ 0.53545081615447998 , 0.61638164520263672 ] support: 0.10039040446281433 number of use :573 number of events to predict :3586 number of events predicted: 360 dataset range :99988.185138863177
OLD: confidence: 0.52288734912872314 confidence bounds at 95%: [ 0.48181056976318359 , 0.5639641284942627 ] support: 0.089747153222560883 number of use :568 number of events to predict :3599 number of events predicted: 323 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="175" score="-9.6142038343652807" creationTime="4.3390000000000004" confidence = "0.57591623067855835" support = "0.10039040446281433" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "360" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.57591623067855835" basesupport = "0.10039040446281433" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "360" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.492250000173225" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.52288734912872314" oldsupport = "0.089747153222560883" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "323" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.492250000173225" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="177" />
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
241
similarId:
247 ,
248 ,
249 ,
250 ,
252 ,
254
base
Show/Hide
confidence: 0.58574181795120239
confidence bounds at 95%: [ 0.54336178302764893 , 0.62812185287475586 ]
support: 0.094255439937114716
number of use :519
number of events to predict :3586
number of events predicted: 338
dataset range :99988.185138863177
rule range :15.492250000173231
exp. confidence :0.42630694830917171
exp. support :0.07727175046923429
std. error exp. confidence :0.021707875475812845
std. error exp. support :0.0044590479354880358
dist. expected v1 :8.2734325357300396
density v1 :5.4607164170426823e-016
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.5470020906894582e-016
density ln. v2 :-41.986449872742277
dist. expected v3 :7.3047855361265048
density v3 :1.0326586790165714e-012
cum. density train v3 :2.7977620220553945e-009
cum. density test v3 :1.3988810110276972e-013
dist. expected v4 :7.2299405599490507
cum. density train v4 :4.8672177399566863e-009
cum. density test v4 :2.4336088699783431e-013
dist. expected v5 :7.2299405599490729
cum. density train v5 :4.8672177399566863e-009
cum. density test v5 :2.4336088699783431e-013
old
Show/Hide
confidence: 0.53875237703323364
confidence bounds at 95%: [ 0.49627184867858887 , 0.58123290538787842 ]
support: 0.087524309754371643
number of use :529
number of events to predict :3599
number of events predicted: 315
dataset range :99936.387513848851
rule range :15.492250000173231
exp. confidence :0.42762690379987212
exp. support :0.078739580774717099
std. error exp. confidence :0.021510191673586216
std. error exp. support :0.004489488176044055
dist. expected v1 :5.5243276325488004
density v1 :9.4182030830435369e-008
cum. density train v1 :0.00033152676253844771
cum. density test v1 :1.6579086326018455e-008
density v2 :1.3124931245912469e-007
density ln. v2 :-22.998299501904743
dist. expected v3 :5.1156836300102349
density v3 :8.2816946603218795e-007
cum. density train v3 :0.0031266896783692655
cum. density test v3 :1.5657938701174601e-007
dist. expected v4 :5.0615792573923946
cum. density train v4 :0.0041562962742028864
cum. density test v4 :2.0824786239881377e-007
dist. expected v5 :5.0615792573923946
cum. density train v5 :0.0041562962742028864
cum. density test v5 :2.0824786239881377e-007
parentId:
26 [Interactive]
creation: Add condition [ gain:0.0051407517591774976 impList:1 first:1 loop:6 ]
number of condition: 2
score: -9.6726526258691869
creation time: 4.5410000000000004
#id:241
a
← r (temp) [ -20 -4.5077499998267747 ]
( 14 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 15 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 35 33 25 24 36 34 33 31 31 30 )
BASE: confidence: 0.58574181795120239 confidence bounds at 95%: [ 0.54336178302764893 , 0.62812185287475586 ] support: 0.094255439937114716 number of use :519 number of events to predict :3586 number of events predicted: 338 dataset range :99988.185138863177
OLD: confidence: 0.53875237703323364 confidence bounds at 95%: [ 0.49627184867858887 , 0.58123290538787842 ] support: 0.087524309754371643 number of use :529 number of events to predict :3599 number of events predicted: 315 dataset range :99936.387513848851
Add condition [ gain:0.0051407517591774976 impList:1 first:1 loop:6 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="241" score="-9.6726526258691869" creationTime="4.5410000000000004" confidence = "0.58574181795120239" support = "0.094255439937114716" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "338" datasetrange = "99988.185138863177" rulerange = "15.492250000173231" expConfidence = "0.42630694830917171" expSupport = "0.07727175046923429" baseconfidence = "0.58574181795120239" basesupport = "0.094255439937114716" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "338" basedatasetrange = "99988.185138863177" baserulerange = "15.492250000173231" baseexpConfidence = "0.42630694830917171" baseexpSupport = "0.07727175046923429" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.492250000173225" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.53875237703323364" oldsupport = "0.087524309754371643" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "315" olddatasetrange = "99936.387513848851" oldrulerange = "15.492250000173231" oldexpConfidence = "0.42762690379987212" oldexpSupport = "0.078739580774717099" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.492250000173225" testexpConfidence = "-1" testexpSupport = "-1" parentId="26" entropyGain="0.0051407517591774976" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="6" threathold="-1" >
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
533
similarId: *none*
base
Show/Hide
confidence: 0.34870317578315735
confidence bounds at 95%: [ 0.31975319981575012 , 0.37765315175056458 ]
support: 0.094534300267696381
number of use :1041
number of events to predict :3586
number of events predicted: 339
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :3.5606502407683814e-024
density ln. v2 :36.316925085315731
dist. expected v3 :-11.321881786915023
density v3 :5.8329656869656199e-029
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-10.86539080160601
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-10.865390801606068
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.37401574850082397
confidence bounds at 95%: [ 0.34426239132881165 , 0.4037691056728363 ]
support: 0.099749930202960968
number of use :1016
number of events to predict :3599
number of events predicted: 359
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.1268996953269198e-017
density ln. v2 :33.156216048972439
dist. expected v3 :-9.6263668224802394
density v3 :3.0098171192663304e-021
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-9.2489530750554625
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-9.248953075055411
cum. density train v5 :1
cum. density test v5 :1
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.6936844147671142
creation time: 5.4400000000000004
#id:533
a
← r (temp) [ -4.0079999998211857 -2.008999999798835 ]
( 76 116 93 105 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.34870317578315735 confidence bounds at 95%: [ 0.31975319981575012 , 0.37765315175056458 ] support: 0.094534300267696381 number of use :1041 number of events to predict :3586 number of events predicted: 339 dataset range :99988.185138863177
OLD: confidence: 0.37401574850082397 confidence bounds at 95%: [ 0.34426239132881165 , 0.4037691056728363 ] support: 0.099749930202960968 number of use :1016 number of events to predict :3599 number of events predicted: 359 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="533" score="-9.6936844147671142" creationTime="5.4400000000000004" confidence = "0.34870317578315735" support = "0.094534300267696381" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "339" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.34870317578315735" basesupport = "0.094534300267696381" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "339" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223507" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.37401574850082397" oldsupport = "0.099749930202960968" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "359" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223507" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="76"/><i v="116"/><i v="93"/><i v="105"/></values>
<bounds><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="53"/><i v="53"/><i v="50"/><i v="45"/><i v="52"/><i v="45"/><i v="56"/><i v="57"/><i v="43"/><i v="50"/><i v="48"/><i v="47"/><i v="45"/><i v="39"/><i v="51"/><i v="47"/><i v="55"/><i v="47"/><i v="44"/><i v="48"/></values>
<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
174
similarId: *none*
base
Show/Hide
confidence: 0.56719022989273071
confidence bounds at 95%: [ 0.52662146091461182 , 0.60775899887084961 ]
support: 0.097601786255836487
number of use :573
number of events to predict :3586
number of events predicted: 350
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :5.4188721976253813
density v1 :1.6771051307591013e-007
cum. density train v1 :0.00060096489275640597
cum. density test v1 :3.0057276778627795e-008
density v2 :9.2396262806397505e-011
density ln. v2 :-30.39740198369665
dist. expected v3 :5.2304851837432809
density v3 :4.5730002030354338e-007
cum. density train v3 :0.0016925390155624331
cum. density test v3 :8.4698645319569721e-008
dist. expected v4 :5.1588347391483573
cum. density train v4 :0.002486386597629453
cum. density test v4 :1.2447413177962829e-007
dist. expected v5 :5.1588347391483449
cum. density train v5 :0.002486386597629453
cum. density test v5 :1.2447413177962829e-007
old
Show/Hide
confidence: 0.51408451795578003
confidence bounds at 95%: [ 0.47298094630241394 , 0.55518805980682373 ]
support: 0.088080018758773804
number of use :568
number of events to predict :3599
number of events predicted: 317
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :2.6964949963726426
density v1 :0.010519956928436699
cum. density train v1 :1
cum. density test v1 :0.0035037214437555475
density v2 :0.010887463020603836
density ln. v2 :-10.952983672183043
dist. expected v3 :2.6016171291604628
density v3 :0.013525961359710853
cum. density train v3 :1
cum. density test v3 :0.004639302963356684
dist. expected v4 :2.5664984582116781
cum. density train v4 :1
cum. density test v4 :0.0051365819899021892
dist. expected v5 :2.5664984582116781
cum. density train v5 :1
cum. density test v5 :0.0051365819899021892
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.6988256250066449
creation time: 4.335
#id:174
a
← r (temp) [ -20 -5.0074999998323619 ]
( 14 11 12 13 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 9 16 15 13 17 10 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.56719022989273071 confidence bounds at 95%: [ 0.52662146091461182 , 0.60775899887084961 ] support: 0.097601786255836487 number of use :573 number of events to predict :3586 number of events predicted: 350 dataset range :99988.185138863177
OLD: confidence: 0.51408451795578003 confidence bounds at 95%: [ 0.47298094630241394 , 0.55518805980682373 ] support: 0.088080018758773804 number of use :568 number of events to predict :3599 number of events predicted: 317 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="174" score="-9.6988256250066449" creationTime="4.335" confidence = "0.56719022989273071" support = "0.097601786255836487" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "350" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.56719022989273071" basesupport = "0.097601786255836487" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "350" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.992500000167638" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.51408451795578003" oldsupport = "0.088080018758773804" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "317" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.992500000167638" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="14"/><i v="11"/><i v="12"/><i v="13"/><i v="21"/><i v="8"/><i v="18"/><i v="20"/><i v="11"/><i v="16"/><i v="18"/><i v="19"/><i v="13"/><i v="22"/><i v="13"/><i v="11"/><i v="17"/><i v="10"/><i v="13"/><i v="20"/><i v="18"/><i v="12"/><i v="18"/><i v="12"/><i v="9"/><i v="16"/><i v="15"/><i v="13"/><i v="17"/><i v="10"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="38"/><i v="39"/><i v="39"/><i v="34"/><i v="28"/><i v="40"/><i v="39"/><i v="39"/><i v="38"/><i v="35"/><i v="37"/></values>
<bounds><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
50
similarId: *none*
base
Show/Hide
confidence: 0.18133333325386047
confidence bounds at 95%: [ 0.17158403992652893 , 0.19108262658119202 ]
support: 0.29029560089111328
number of use :6000
number of events to predict :3586
number of events predicted: 1041
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :-38.772431424447639
dist. expected v3 :-41.347210143126269
density v3 :0
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-51.919179443036562
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-51.919179443035482
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.17416666448116302
confidence bounds at 95%: [ 0.16457024216651917 , 0.18376308679580688 ]
support: 0.28285634517669678
number of use :6000
number of events to predict :3599
number of events predicted: 1018
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :-66.746320211277151
dist. expected v3 :-42.344528232051012
density v3 :0
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-53.089409234314765
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-53.089409234315923
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -9.7083497639614524
creation time: 3.585
#id:50
a
← r (temp) [ -4.5077499998267747 -3.0084999998100099 ]
( 122 393 637 )
BASE: confidence: 0.18133333325386047 confidence bounds at 95%: [ 0.17158403992652893 , 0.19108262658119202 ] support: 0.29029560089111328 number of use :6000 number of events to predict :3586 number of events predicted: 1041 dataset range :99988.185138863177
OLD: confidence: 0.17416666448116302 confidence bounds at 95%: [ 0.16457024216651917 , 0.18376308679580688 ] support: 0.28285634517669678 number of use :6000 number of events to predict :3599 number of events predicted: 1018 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="50" score="-9.7083497639614524" creationTime="3.585" confidence = "0.18133333325386047" support = "0.29029560089111328" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "1041" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.18133333325386047" basesupport = "0.29029560089111328" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "1041" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167648" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.17416666448116302" oldsupport = "0.28285634517669678" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "1018" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167648" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="122"/><i v="393"/><i v="637"/></values>
<bounds><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
118
similarId: *none*
base
Show/Hide
confidence: 0.57418113946914673
confidence bounds at 95%: [ 0.53163999319076538 , 0.61672228574752808 ]
support: 0.090351365506649017
number of use :519
number of events to predict :3586
number of events predicted: 324
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :6.7517771012885923
density v1 :5.0341791142868293e-011
cum. density train v1 :1.4687583405059712e-007
cum. density test v1 :7.343792240988023e-012
density v2 :2.5628991692574016e-013
density ln. v2 :-36.20038326886101
dist. expected v3 :6.2642731434703585
density v3 :1.2017373431729211e-009
cum. density train v3 :3.7616550465635612e-006
cum. density test v3 :1.8808310464635269e-010
dist. expected v4 :6.1972768523311625
cum. density train v4 :5.7682981011719647e-006
cum. density test v4 :2.8841573573856749e-010
dist. expected v5 :6.1972768523311705
cum. density train v5 :5.7682981011719647e-006
cum. density test v5 :2.8841573573856749e-010
old
Show/Hide
confidence: 0.50661623477935791
confidence bounds at 95%: [ 0.46401125192642212 , 0.5492212176322937 ]
support: 0.079744376242160797
number of use :529
number of events to predict :3599
number of events predicted: 287
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :3.1885548927488756
density v1 :0.0024728605395964815
cum. density train v1 :0.9999993870577315
cum. density test v1 :0.00071499402407348978
density v2 :0.00183845950031213
density ln. v2 :-13.228510948347131
dist. expected v3 :3.1115895991060278
density v3 :0.0031513213124128728
cum. density train v3 :0.99999999179332155
cum. density test v3 :0.00093048271097240232
dist. expected v4 :3.0772391546330193
cum. density train v4 :0.99999999916622218
cum. density test v4 :0.0010447066235714786
dist. expected v5 :3.0772391546330171
cum. density train v5 :0.99999999916622218
cum. density test v5 :0.0010447066235714786
parentId:
101 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.7352118581339528
creation time: 4.2009999999999996
#id:118
a
← r (temp) [ -18.000999999977651 -4.0079999998211857 ]
( 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
BASE: confidence: 0.57418113946914673 confidence bounds at 95%: [ 0.53163999319076538 , 0.61672228574752808 ] support: 0.090351365506649017 number of use :519 number of events to predict :3586 number of events predicted: 324 dataset range :99988.185138863177
OLD: confidence: 0.50661623477935791 confidence bounds at 95%: [ 0.46401125192642212 , 0.5492212176322937 ] support: 0.079744376242160797 number of use :529 number of events to predict :3599 number of events predicted: 287 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="118" score="-9.7352118581339528" creationTime="4.2009999999999996" confidence = "0.57418113946914673" support = "0.090351365506649017" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "324" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.57418113946914673" basesupport = "0.090351365506649017" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "324" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.993000000156465" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.50661623477935791" oldsupport = "0.079744376242160797" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "287" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.993000000156465" testexpConfidence = "-1" testexpSupport = "-1" parentId="101" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
507
similarId: *none*
base
Show/Hide
confidence: 0.41629955172538757
confidence bounds at 95%: [ 0.37095490097999573 , 0.46164420247077942 ]
support: 0.056887898594141006
number of use :454
number of events to predict :3586
number of events predicted: 204
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.01352273777208457
std. error exp. confidence :0.014201512157547766
std. error exp. support :0.0019287267787216967
dist. expected v1 :31.550706672802814
density v1 :2.768985118582239e-217
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.4656438136366167e-108
density ln. v2 :-103.28848974898929
dist. expected v3 :22.165551995910747
density v3 :8.2022119544834235e-108
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :22.139242150133704
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :22.139242150133576
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.37937384843826294
confidence bounds at 95%: [ 0.33856025338172913 , 0.42018744349479675 ]
support: 0.06168380007147789
number of use :543
number of events to predict :3599
number of events predicted: 222
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.016160458990898241
std. error exp. confidence :0.013008180866054502
std. error exp. support :0.0021018322863014783
dist. expected v1 :30.374315216526583
density v1 :1.8242204081244e-201
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.1455200865947713e-098
density ln. v2 :-78.610191047769447
dist. expected v3 :21.337632670776429
density v3 :5.4318879903308909e-100
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :21.302835261640851
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :21.302835261640933
cum. density train v5 :0
cum. density test v5 :0
parentId:
495 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -9.7535728569942872
creation time: 5.3540000000000001
#id:507
a
← r (temp) [ -3.0084999998100099 -1.509249999793248 ]
( 58 88 74 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
← r (temp) [ -1.991000000201165 -0.49025000021793019 ]
( 79 82 110 )
BASE: confidence: 0.41629955172538757 confidence bounds at 95%: [ 0.37095490097999573 , 0.46164420247077942 ] support: 0.056887898594141006 number of use :454 number of events to predict :3586 number of events predicted: 204 dataset range :99988.185138863177
OLD: confidence: 0.37937384843826294 confidence bounds at 95%: [ 0.33856025338172913 , 0.42018744349479675 ] support: 0.06168380007147789 number of use :543 number of events to predict :3599 number of events predicted: 222 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="507" score="-9.7535728569942872" creationTime="5.3540000000000001" confidence = "0.41629955172538757" support = "0.056887898594141006" number_of_use = "454" number_of_events_to_predict = "3586" number_of_events_predicted = "204" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.01352273777208457" baseconfidence = "0.41629955172538757" basesupport = "0.056887898594141006" basenumber_of_use = "454" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "204" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.01352273777208457" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167619" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.37937384843826294" oldsupport = "0.06168380007147789" oldnumber_of_use = "543" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "222" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.016160458990898241" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167619" testexpConfidence = "-1" testexpSupport = "-1" parentId="495" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="58"/><i v="88"/><i v="74"/></values>
<bounds><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
173
similarId: *none*
base
Show/Hide
confidence: 0.56195461750030518
confidence bounds at 95%: [ 0.52132999897003174 , 0.60257923603057861 ]
support: 0.095092020928859711
number of use :573
number of events to predict :3586
number of events predicted: 341
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :5.0976587632992061
density v1 :9.0801860658146236e-007
cum. density train v1 :0.0034388457352537705
cum. density test v1 :1.7223859294368538e-007
density v2 :1.2718996024369535e-010
density ln. v2 :-29.82845260922905
dist. expected v3 :4.9663414925725773
density v3 :1.7582132848347176e-006
cum. density train v3 :0.0068099269127230855
cum. density test v3 :3.4166095541632302e-007
dist. expected v4 :4.8983094528185962
cum. density train v4 :0.0096335914160080582
cum. density test v4 :4.8401461516522915e-007
dist. expected v5 :4.8983094528185847
cum. density train v5 :0.0096335914160080582
cum. density test v5 :4.8401461516522915e-007
old
Show/Hide
confidence: 0.50176054239273071
confidence bounds at 95%: [ 0.46064090728759766 , 0.54288017749786377 ]
support: 0.086135037243366241
number of use :568
number of events to predict :3599
number of events predicted: 310
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :2.1069546169871027
density v1 :0.043344848745078796
cum. density train v1 :1
cum. density test v1 :0.01756069512582914
density v2 :0.16217417324953898
density ln. v2 :-7.8634906240493114
dist. expected v3 :2.0120768104522844
density v3 :0.052698669059873804
cum. density train v3 :1
cum. density test v3 :0.022105851620292549
dist. expected v4 :1.9849162176663826
cum. density train v4 :1
cum. density test v4 :0.023576827619335772
dist. expected v5 :1.9849162176663826
cum. density train v5 :1
cum. density test v5 :0.023576827619335772
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.7541202784701255
creation time: 4.3310000000000004
#id:173
a
← r (temp) [ -20 -5.5072499998379492 ]
( 14 11 12 13 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 9 16 15 13 17 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.56195461750030518 confidence bounds at 95%: [ 0.52132999897003174 , 0.60257923603057861 ] support: 0.095092020928859711 number of use :573 number of events to predict :3586 number of events predicted: 341 dataset range :99988.185138863177
OLD: confidence: 0.50176054239273071 confidence bounds at 95%: [ 0.46064090728759766 , 0.54288017749786377 ] support: 0.086135037243366241 number of use :568 number of events to predict :3599 number of events predicted: 310 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="173" score="-9.7541202784701255" creationTime="4.3310000000000004" confidence = "0.56195461750030518" support = "0.095092020928859711" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "341" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.56195461750030518" basesupport = "0.095092020928859711" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "341" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.492750000162051" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.50176054239273071" oldsupport = "0.086135037243366241" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "310" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.492750000162051" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
201
similarId:
206 ,
207 ,
208 ,
209 ,
210 ,
212
base
Show/Hide
confidence: 0.57610791921615601
confidence bounds at 95%: [ 0.53359198570251465 , 0.61862385272979736 ]
support: 0.091466814279556274
number of use :519
number of events to predict :3586
number of events predicted: 328
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :8.3105569811417705
density v1 :4.01382353207731e-016
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.2571928167459465e-016
density ln. v2 :-42.69595372903467
dist. expected v3 :7.3604188879640189
density v3 :6.8673930984556587e-013
cum. density train v3 :1.8474111129762605e-009
cum. density test v3 :9.2370555648813024e-014
dist. expected v4 :7.2882440375751596
cum. density train v4 :3.1641356201816961e-009
cum. density test v4 :1.5820678100908481e-013
dist. expected v5 :7.2882440375751516
cum. density train v5 :3.1641356201816961e-009
cum. density test v5 :1.5820678100908481e-013
old
Show/Hide
confidence: 0.5330812931060791
confidence bounds at 95%: [ 0.4905659556388855 , 0.57559663057327271 ]
support: 0.086135037243366241
number of use :529
number of events to predict :3599
number of events predicted: 310
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :5.8429712497710291
density v1 :1.5396970833006246e-008
cum. density train v1 :5.1440989748297028e-005
cum. density test v1 :2.5721156315938742e-009
density v2 :3.5453023099682686e-008
density ln. v2 :-24.142152283243711
dist. expected v3 :5.3554095146315328
density v3 :2.3606844142940058e-007
cum. density train v3 :0.00085512968336209916
cum. density test v3 :4.2774774833276297e-008
dist. expected v4 :5.3012028254968291
cum. density train v4 :0.0011521589312294411
cum. density test v4 :5.7641157180654545e-008
dist. expected v5 :5.3012028254968202
cum. density train v5 :0.0011521589312294411
cum. density test v5 :5.7641157180654545e-008
parentId:
19 [Interactive]
creation: Add condition [ gain:0.0051472865106224619 impList:1 first:1 loop:5 ]
number of condition: 2
score: -9.7662637506169965
creation time: 4.4299999999999997
#id:201
a
← r (temp) [ -20 -5.0074999998323619 ]
( 14 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.57610791921615601 confidence bounds at 95%: [ 0.53359198570251465 , 0.61862385272979736 ] support: 0.091466814279556274 number of use :519 number of events to predict :3586 number of events predicted: 328 dataset range :99988.185138863177
OLD: confidence: 0.5330812931060791 confidence bounds at 95%: [ 0.4905659556388855 , 0.57559663057327271 ] support: 0.086135037243366241 number of use :529 number of events to predict :3599 number of events predicted: 310 dataset range :99936.387513848851
Add condition [ gain:0.0051472865106224619 impList:1 first:1 loop:5 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="201" score="-9.7662637506169965" creationTime="4.4299999999999997" confidence = "0.57610791921615601" support = "0.091466814279556274" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "328" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.57610791921615601" basesupport = "0.091466814279556274" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "328" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.992500000167638" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.5330812931060791" oldsupport = "0.086135037243366241" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "310" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.992500000167638" testexpConfidence = "-1" testexpSupport = "-1" parentId="19" entropyGain="0.0051472865106224619" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="5" threathold="-1" >
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Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
73
similarId: *none*
base
Show/Hide
confidence: 0.73891627788543701
confidence bounds at 95%: [ 0.67849421501159668 , 0.79933834075927734 ]
support: 0.059955380856990814
number of use :203
number of events to predict :3586
number of events predicted: 215
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.039775869445696443
std. error exp. confidence :0.035083372367853513
std. error exp. support :0.0032635555244750571
dist. expected v1 :8.9524639095251519
density v1 :1.5750517281576517e-018
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.9065764409110011e-010
density ln. v2 :-26.280559662170173
dist. expected v3 :6.4858423662291607
density v3 :2.9265867052855235e-010
cum. density train v3 :8.8668589148799271e-007
cum. density test v3 :4.4334313997751451e-011
dist. expected v4 :6.4683006279485635
cum. density train v4 :9.9590509261560101e-007
cum. density test v4 :4.9795279011277671e-011
dist. expected v5 :6.4683006279485662
cum. density train v5 :9.9590509261560101e-007
cum. density test v5 :4.9795279011277671e-011
old
Show/Hide
confidence: 0.72037917375564575
confidence bounds at 95%: [ 0.65981996059417725 , 0.78093838691711426 ]
support: 0.06168380007147789
number of use :211
number of events to predict :3599
number of events predicted: 222
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.041331532025280615
std. error exp. confidence :0.034409361896585826
std. error exp. support :0.0033180585855830573
dist. expected v1 :8.5944361128627929
density v1 :3.6431256150920552e-017
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.5157875600770773e-007
density ln. v2 :-18.694351670038884
dist. expected v3 :6.0339846612455359
density v3 :4.9522492022316219e-009
cum. density train v3 :1.6055048436935948e-005
cum. density test v3 :8.0275885938618785e-010
dist. expected v4 :6.0164383577040113
cum. density train v4 :1.7894070562740616e-005
cum. density test v4 :8.9471152708853197e-010
dist. expected v5 :6.0164383577040068
cum. density train v5 :1.7894070562740616e-005
cum. density test v5 :8.9471152708853197e-010
parentId:
63 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.7696070497679859
creation time: 4.1210000000000004
#id:73
a
← j (temp) [ -20 -2.5087499998044218 ]
( 6 10 8 13 8 4 4 6 4 8 2 14 3 7 8 5 6 6 8 7 6 12 0 0 0 4 8 10 0 0 8 12 7 13 9 )
← r (temp) [ -3.992000000178813 -0.49025000021793019 ]
( 19 34 19 26 24 40 32 )
BASE: confidence: 0.73891627788543701 confidence bounds at 95%: [ 0.67849421501159668 , 0.79933834075927734 ] support: 0.059955380856990814 number of use :203 number of events to predict :3586 number of events predicted: 215 dataset range :99988.185138863177
OLD: confidence: 0.72037917375564575 confidence bounds at 95%: [ 0.65981996059417725 , 0.78093838691711426 ] support: 0.06168380007147789 number of use :211 number of events to predict :3599 number of events predicted: 222 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="73" score="-9.7696070497679859" creationTime="4.1210000000000004" confidence = "0.73891627788543701" support = "0.059955380856990814" number_of_use = "203" number_of_events_to_predict = "3586" number_of_events_predicted = "215" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.039775869445696443" baseconfidence = "0.73891627788543701" basesupport = "0.059955380856990814" basenumber_of_use = "203" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "215" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.039775869445696443" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "17.491250000195578" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.72037917375564575" oldsupport = "0.06168380007147789" oldnumber_of_use = "211" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "222" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.041331532025280615" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "17.491250000195578" testexpConfidence = "-1" testexpSupport = "-1" parentId="63" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
601
similarId: *none*
base
Show/Hide
confidence: 0.57418113946914673
confidence bounds at 95%: [ 0.53163999319076538 , 0.61672228574752808 ]
support: 0.090351365506649017
number of use :519
number of events to predict :3586
number of events predicted: 324
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :6.7517771012885923
density v1 :5.0341791142868293e-011
cum. density train v1 :1.4687583405059712e-007
cum. density test v1 :7.343792240988023e-012
density v2 :2.5628991692574016e-013
density ln. v2 :-36.20038326886101
dist. expected v3 :6.2642731434703585
density v3 :1.2017373431729211e-009
cum. density train v3 :3.7616550465635612e-006
cum. density test v3 :1.8808310464635269e-010
dist. expected v4 :6.1972768523311625
cum. density train v4 :5.7682981011719647e-006
cum. density test v4 :2.8841573573856749e-010
dist. expected v5 :6.1972768523311705
cum. density train v5 :5.7682981011719647e-006
cum. density test v5 :2.8841573573856749e-010
old
Show/Hide
confidence: 0.50661623477935791
confidence bounds at 95%: [ 0.46401125192642212 , 0.5492212176322937 ]
support: 0.079744376242160797
number of use :529
number of events to predict :3599
number of events predicted: 287
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :3.1885548927488756
density v1 :0.0024728605395964815
cum. density train v1 :0.9999993870577315
cum. density test v1 :0.00071499402407348978
density v2 :0.00183845950031213
density ln. v2 :-13.228510948347131
dist. expected v3 :3.1115895991060278
density v3 :0.0031513213124128728
cum. density train v3 :0.99999999179332155
cum. density test v3 :0.00093048271097240232
dist. expected v4 :3.0772391546330193
cum. density train v4 :0.99999999916622218
cum. density test v4 :0.0010447066235714786
dist. expected v5 :3.0772391546330171
cum. density train v5 :0.99999999916622218
cum. density test v5 :0.0010447066235714786
parentId:
584 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -9.7757583707377123
creation time: 5.7089999999999996
#id:601
a
← r (temp) [ -18.000999999977651 -4.0079999998211857 ]
( 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.57418113946914673 confidence bounds at 95%: [ 0.53163999319076538 , 0.61672228574752808 ] support: 0.090351365506649017 number of use :519 number of events to predict :3586 number of events predicted: 324 dataset range :99988.185138863177
OLD: confidence: 0.50661623477935791 confidence bounds at 95%: [ 0.46401125192642212 , 0.5492212176322937 ] support: 0.079744376242160797 number of use :529 number of events to predict :3599 number of events predicted: 287 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="601" score="-9.7757583707377123" creationTime="5.7089999999999996" confidence = "0.57418113946914673" support = "0.090351365506649017" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "324" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.57418113946914673" basesupport = "0.090351365506649017" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "324" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.993000000156465" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.50661623477935791" oldsupport = "0.079744376242160797" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "287" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.993000000156465" testexpConfidence = "-1" testexpSupport = "-1" parentId="584" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
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</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
617
similarId:
622 ,
623 ,
624 ,
625 ,
626 ,
628
base
Show/Hide
confidence: 0.57610791921615601
confidence bounds at 95%: [ 0.53359198570251465 , 0.61862385272979736 ]
support: 0.091466814279556274
number of use :519
number of events to predict :3586
number of events predicted: 328
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :8.3105569811417705
density v1 :4.01382353207731e-016
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.2571928167459465e-016
density ln. v2 :-42.69595372903467
dist. expected v3 :7.3604188879640189
density v3 :6.8673930984556587e-013
cum. density train v3 :1.8474111129762605e-009
cum. density test v3 :9.2370555648813024e-014
dist. expected v4 :7.2882440375751596
cum. density train v4 :3.1641356201816961e-009
cum. density test v4 :1.5820678100908481e-013
dist. expected v5 :7.2882440375751516
cum. density train v5 :3.1641356201816961e-009
cum. density test v5 :1.5820678100908481e-013
old
Show/Hide
confidence: 0.5330812931060791
confidence bounds at 95%: [ 0.4905659556388855 , 0.57559663057327271 ]
support: 0.086135037243366241
number of use :529
number of events to predict :3599
number of events predicted: 310
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :5.8429712497710291
density v1 :1.5396970833006246e-008
cum. density train v1 :5.1440989748297028e-005
cum. density test v1 :2.5721156315938742e-009
density v2 :3.5453023099682686e-008
density ln. v2 :-24.142152283243711
dist. expected v3 :5.3554095146315328
density v3 :2.3606844142940058e-007
cum. density train v3 :0.00085512968336209916
cum. density test v3 :4.2774774833276297e-008
dist. expected v4 :5.3012028254968291
cum. density train v4 :0.0011521589312294411
cum. density test v4 :5.7641157180654545e-008
dist. expected v5 :5.3012028254968202
cum. density train v5 :0.0011521589312294411
cum. density test v5 :5.7641157180654545e-008
parentId:
513 [Interactive]
creation: Add condition [ gain:0.0063449441757049696 impList:2 first:1 loop:22 ]
number of condition: 3
score: -9.8068102632207559
creation time: 5.7709999999999999
#id:617
a
← r (temp) [ -20 -5.0074999998323619 ]
( 14 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.57610791921615601 confidence bounds at 95%: [ 0.53359198570251465 , 0.61862385272979736 ] support: 0.091466814279556274 number of use :519 number of events to predict :3586 number of events predicted: 328 dataset range :99988.185138863177
OLD: confidence: 0.5330812931060791 confidence bounds at 95%: [ 0.4905659556388855 , 0.57559663057327271 ] support: 0.086135037243366241 number of use :529 number of events to predict :3599 number of events predicted: 310 dataset range :99936.387513848851
Add condition [ gain:0.0063449441757049696 impList:2 first:1 loop:22 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="617" score="-9.8068102632207559" creationTime="5.7709999999999999" confidence = "0.57610791921615601" support = "0.091466814279556274" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "328" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.57610791921615601" basesupport = "0.091466814279556274" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "328" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.992500000167638" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.5330812931060791" oldsupport = "0.086135037243366241" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "310" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.992500000167638" testexpConfidence = "-1" testexpSupport = "-1" parentId="513" entropyGain="0.0063449441757049696" type="2" split="-1" gaussian="-1" impList="2" firstElement="1" loop="22" threathold="-1" >
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<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
134
similarId:
140 ,
142
base
Show/Hide
confidence: 0.57225435972213745
confidence bounds at 95%: [ 0.52968865633010864 , 0.61482006311416626 ]
support: 0.08923591673374176
number of use :519
number of events to predict :3586
number of events predicted: 320
dataset range :99988.185138863177
rule range :14.492750000162051
exp. confidence :0.40536594600772557
exp. support :0.07247145874086236
std. error exp. confidence :0.021550871653530642
std. error exp. support :0.0043295424295029259
dist. expected v1 :8.6580399633166891
density v1 :2.1047149546552601e-017
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.3316508261860966e-018
density ln. v2 :-47.254023706916918
dist. expected v3 :7.6953229485336401
density v3 :5.5193225571171983e-014
cum. density train v3 :1.4210854715202004e-010
cum. density test v3 :7.1054273576010019e-015
dist. expected v4 :7.6231854671506278
cum. density train v4 :2.4868995751603507e-010
cum. density test v4 :1.2434497875801753e-014
dist. expected v5 :7.6231854671506056
cum. density train v5 :2.4868995751603507e-010
cum. density test v5 :1.2434497875801753e-014
old
Show/Hide
confidence: 0.51984876394271851
confidence bounds at 95%: [ 0.47727364301681519 , 0.56242388486862183 ]
support: 0.084190055727958679
number of use :529
number of events to predict :3599
number of events predicted: 303
dataset range :99936.387513848851
rule range :14.492750000162051
exp. confidence :0.40664590364355047
exp. support :0.073851797522660467
std. error exp. confidence :0.021356856882614576
std. error exp. support :0.0043594314795037245
dist. expected v1 :5.8068566671990212
density v1 :1.9001826897515066e-008
cum. density train v1 :6.3853398273305828e-005
cum. density test v1 :3.1927718247004577e-009
density v2 :2.6021013817658757e-007
density ln. v2 :-21.928910526855308
dist. expected v3 :5.2580914827879477
density v3 :3.956635714245755e-007
cum. density train v3 :0.0014574435201012426
cum. density test v3 :7.2925328553630209e-008
dist. expected v4 :5.2072120525599779
cum. density train v4 :0.0019188284844920966
cum. density test v4 :9.6033585084143169e-008
dist. expected v5 :5.2072120525599912
cum. density train v5 :0.0019188284844920966
cum. density test v5 :9.6033585084143169e-008
parentId:
13 [Interactive]
creation: Add condition [ gain:0.0055929815727743248 impList:1 first:1 loop:3 ]
number of condition: 2
score: -9.8085932017489341
creation time: 4.2549999999999999
#id:134
a
← r (temp) [ -20 -5.5072499998379492 ]
( 14 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 32 25 23 35 34 32 31 30 30 )
BASE: confidence: 0.57225435972213745 confidence bounds at 95%: [ 0.52968865633010864 , 0.61482006311416626 ] support: 0.08923591673374176 number of use :519 number of events to predict :3586 number of events predicted: 320 dataset range :99988.185138863177
OLD: confidence: 0.51984876394271851 confidence bounds at 95%: [ 0.47727364301681519 , 0.56242388486862183 ] support: 0.084190055727958679 number of use :529 number of events to predict :3599 number of events predicted: 303 dataset range :99936.387513848851
Add condition [ gain:0.0055929815727743248 impList:1 first:1 loop:3 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="134" score="-9.8085932017489341" creationTime="4.2549999999999999" confidence = "0.57225435972213745" support = "0.08923591673374176" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "320" datasetrange = "99988.185138863177" rulerange = "14.492750000162051" expConfidence = "0.40536594600772557" expSupport = "0.07247145874086236" baseconfidence = "0.57225435972213745" basesupport = "0.08923591673374176" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "320" basedatasetrange = "99988.185138863177" baserulerange = "14.492750000162051" baseexpConfidence = "0.40536594600772557" baseexpSupport = "0.07247145874086236" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.492750000162051" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.51984876394271851" oldsupport = "0.084190055727958679" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "303" olddatasetrange = "99936.387513848851" oldrulerange = "14.492750000162051" oldexpConfidence = "0.40664590364355047" oldexpSupport = "0.073851797522660467" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.492750000162051" testexpConfidence = "-1" testexpSupport = "-1" parentId="13" entropyGain="0.0055929815727743248" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="3" threathold="-1" >
<similarId>
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<i v="142" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
258
similarId: *none*
base
Show/Hide
confidence: 0.57225435972213745
confidence bounds at 95%: [ 0.52968865633010864 , 0.61482006311416626 ]
support: 0.090630225837230682
number of use :519
number of events to predict :3586
number of events predicted: 325
dataset range :99988.185138863177
rule range :15.492250000173231
exp. confidence :0.42630694830917171
exp. support :0.07727175046923429
std. error exp. confidence :0.021707875475812845
std. error exp. support :0.0044590479354880358
dist. expected v1 :7.3604992763474728
density v1 :6.8633308954125409e-013
cum. density train v1 :1.8474111129762605e-009
cum. density test v1 :9.2370555648813024e-014
density v2 :3.6401843742503353e-014
density ln. v2 :-37.731919630086999
dist. expected v3 :6.6725427099048495
density v3 :8.5684288291254496e-011
cum. density train v3 :2.5277776782850481e-007
cum. density test v3 :1.2638889934635245e-011
dist. expected v4 :6.6041757061514863
cum. density train v4 :4.0182960181489591e-007
cum. density test v4 :2.0091484032036533e-011
dist. expected v5 :6.6041757061515058
cum. density train v5 :4.0182960181489591e-007
cum. density test v5 :2.0091484032036533e-011
old
Show/Hide
confidence: 0.5047258734703064
confidence bounds at 95%: [ 0.46211907267570496 , 0.54733264446258545 ]
support: 0.080577939748764038
number of use :529
number of events to predict :3599
number of events predicted: 290
dataset range :99936.387513848851
rule range :15.492250000173231
exp. confidence :0.42762690379987212
exp. support :0.078739580774717099
std. error exp. confidence :0.021510191673586216
std. error exp. support :0.004489488176044055
dist. expected v1 :3.6076138270116718
density v1 :0.00059534035209774145
cum. density train v1 :0.95455400863524653
cum. density test v1 :0.00015454958903382554
density v2 :0.0012894916971774948
density ln. v2 :-14.00839779766263
dist. expected v3 :3.5207959139089238
density v3 :0.00081124498895863571
cum. density train v3 :0.98648364872231387
cum. density test v3 :0.00021516960373468841
dist. expected v4 :3.4835593551584916
cum. density train v4 :0.99291273953076087
cum. density test v4 :0.00024744220146377671
dist. expected v5 :3.4835593551584916
cum. density train v5 :0.99291273953076087
cum. density test v5 :0.00024744220146377671
parentId:
241 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.8114869867009809
creation time: 4.5730000000000004
#id:258
a
← r (temp) [ -19.500249999994409 -4.5077499998267747 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 0 16 14 13 13 9 15 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 35 33 25 24 36 34 33 31 31 30 )
BASE: confidence: 0.57225435972213745 confidence bounds at 95%: [ 0.52968865633010864 , 0.61482006311416626 ] support: 0.090630225837230682 number of use :519 number of events to predict :3586 number of events predicted: 325 dataset range :99988.185138863177
OLD: confidence: 0.5047258734703064 confidence bounds at 95%: [ 0.46211907267570496 , 0.54733264446258545 ] support: 0.080577939748764038 number of use :529 number of events to predict :3599 number of events predicted: 290 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="258" score="-9.8114869867009809" creationTime="4.5730000000000004" confidence = "0.57225435972213745" support = "0.090630225837230682" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "325" datasetrange = "99988.185138863177" rulerange = "15.492250000173231" expConfidence = "0.42630694830917171" expSupport = "0.07727175046923429" baseconfidence = "0.57225435972213745" basesupport = "0.090630225837230682" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "325" basedatasetrange = "99988.185138863177" baserulerange = "15.492250000173231" baseexpConfidence = "0.42630694830917171" baseexpSupport = "0.07727175046923429" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.992500000167635" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.5047258734703064" oldsupport = "0.080577939748764038" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "290" olddatasetrange = "99936.387513848851" oldrulerange = "15.492250000173231" oldexpConfidence = "0.42762690379987212" oldexpSupport = "0.078739580774717099" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.992500000167635" testexpConfidence = "-1" testexpSupport = "-1" parentId="241" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
311
similarId:
317 ,
320 ,
323 ,
326 ,
329 ,
333
base
Show/Hide
confidence: 0.7053571343421936
confidence bounds at 95%: [ 0.64565575122833252 , 0.76505851745605469 ]
support: 0.066648073494434357
number of use :224
number of events to predict :3586
number of events predicted: 239
dataset range :99988.185138863177
rule range :18.990500000212339
exp. confidence :0.49396249136343995
exp. support :0.041655332094502451
std. error exp. confidence :0.033405219631274331
std. error exp. support :0.0033364991873627804
dist. expected v1 :9.8059533541936723
density v1 :5.2570651794024498e-022
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.510425944017249e-007
density ln. v2 :-12.979276378701488
dist. expected v3 :6.3501488402717694
density v3 :6.9916546846954181e-010
cum. density train v3 :2.1607470339635171e-006
cum. density test v3 :1.0803746786081092e-010
dist. expected v4 :6.3310250190016299
cum. density train v4 :2.4462091335886171e-006
cum. density test v4 :1.223106060876944e-010
dist. expected v5 :6.3310250190016264
cum. density train v5 :2.4462091335886171e-006
cum. density test v5 :1.223106060876944e-010
old
Show/Hide
confidence: 0.69874477386474609
confidence bounds at 95%: [ 0.64057683944702148 , 0.7569127082824707 ]
support: 0.068352319300174713
number of use :239
number of events to predict :3599
number of events predicted: 246
dataset range :99936.387513848851
rule range :18.990500000212339
exp. confidence :0.4953893467247662
exp. support :0.044404431591103521
std. error exp. confidence :0.032340936264718109
std. error exp. support :0.0034336758800083281
dist. expected v1 :9.390406509417403
density v1 :2.837422644602677e-020
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.1034687951761824e-007
density ln. v2 :-15.073982013854637
dist. expected v3 :6.3092147929746663
density v3 :9.0595254925319316e-010
cum. density train v3 :2.8168494560221191e-006
cum. density test v3 :1.4084267085934243e-010
dist. expected v4 :6.2877715158777834
cum. density train v4 :3.2344918999838157e-006
cum. density test v4 :1.61724855729517e-010
dist. expected v5 :6.287771515877786
cum. density train v5 :3.2344918999838157e-006
cum. density test v5 :1.61724855729517e-010
parentId:
9 [Interactive]
creation: Add condition [ gain:0.0050457651962124714 impList:1 first:1 loop:8 ]
number of condition: 2
score: -9.8261159686226343
creation time: 4.7279999999999998
#id:311
a
← j (temp) [ -20 -1.009499999787657 ]
( 8 11 8 13 9 5 5 6 5 8 2 14 4 7 9 5 6 8 10 7 0 0 0 0 0 0 0 0 0 0 10 13 7 15 11 12 15 18 )
← r (temp) [ -3.992000000178813 0.0099999997764825821 ]
( 15 29 14 23 17 30 26 22 )
BASE: confidence: 0.7053571343421936 confidence bounds at 95%: [ 0.64565575122833252 , 0.76505851745605469 ] support: 0.066648073494434357 number of use :224 number of events to predict :3586 number of events predicted: 239 dataset range :99988.185138863177
OLD: confidence: 0.69874477386474609 confidence bounds at 95%: [ 0.64057683944702148 , 0.7569127082824707 ] support: 0.068352319300174713 number of use :239 number of events to predict :3599 number of events predicted: 246 dataset range :99936.387513848851
Add condition [ gain:0.0050457651962124714 impList:1 first:1 loop:8 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="311" score="-9.8261159686226343" creationTime="4.7279999999999998" confidence = "0.7053571343421936" support = "0.066648073494434357" number_of_use = "224" number_of_events_to_predict = "3586" number_of_events_predicted = "239" datasetrange = "99988.185138863177" rulerange = "18.990500000212339" expConfidence = "0.49396249136343995" expSupport = "0.041655332094502451" baseconfidence = "0.7053571343421936" basesupport = "0.066648073494434357" basenumber_of_use = "224" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "239" basedatasetrange = "99988.185138863177" baserulerange = "18.990500000212339" baseexpConfidence = "0.49396249136343995" baseexpSupport = "0.041655332094502451" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.990500000212343" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.69874477386474609" oldsupport = "0.068352319300174713" oldnumber_of_use = "239" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "246" olddatasetrange = "99936.387513848851" oldrulerange = "18.990500000212339" oldexpConfidence = "0.4953893467247662" oldexpSupport = "0.044404431591103521" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.990500000212343" testexpConfidence = "-1" testexpSupport = "-1" parentId="9" entropyGain="0.0050457651962124714" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="8" threathold="-1" >
<similarId>
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<i v="320" />
<i v="323" />
<i v="326" />
<i v="329" />
<i v="333" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
66
similarId: *none*
base
Show/Hide
confidence: 0.72906404733657837
confidence bounds at 95%: [ 0.66792422533035278 , 0.79020386934280396 ]
support: 0.056330174207687378
number of use :203
number of events to predict :3586
number of events predicted: 202
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.039775869445696443
std. error exp. confidence :0.035083372367853513
std. error exp. support :0.0032635555244750571
dist. expected v1 :8.0053894216502126
density v1 :4.8389994084819587e-015
cum. density train v1 :1.3322676295501878e-011
cum. density test v1 :6.6613381477509392e-016
density v2 :1.8659074923957915e-010
density ln. v2 :-28.32833485246746
dist. expected v3 :6.2000852583884596
density v3 :1.7928359542370244e-009
cum. density train v3 :5.6663446756921587e-006
cum. density test v3 :2.8331803569869862e-010
dist. expected v4 :6.1833163844660319
cum. density train v4 :6.3022721815686467e-006
cum. density test v4 :3.1511460107935818e-010
dist. expected v5 :6.1833163844660346
cum. density train v5 :6.3022721815686467e-006
cum. density test v5 :3.1511460107935818e-010
old
Show/Hide
confidence: 0.71563982963562012
confidence bounds at 95%: [ 0.65477079153060913 , 0.7765088677406311 ]
support: 0.06196165457367897
number of use :211
number of events to predict :3599
number of events predicted: 223
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.041331532025280615
std. error exp. confidence :0.034409361896585826
std. error exp. support :0.0033180585855830573
dist. expected v1 :8.5591629680465928
density v1 :4.930166157847636e-017
cum. density train v1 :0
cum. density test v1 :0
density v2 :9.8480836418542794e-007
density ln. v2 :-16.152144407920364
dist. expected v3 :5.8971941009363915
density v3 :1.1199601212969225e-008
cum. density train v3 :3.7096064516184413e-005
cum. density test v3 :1.8548376168325831e-009
dist. expected v4 :5.8800455724684779
cum. density train v4 :4.1149592052258654e-005
cum. density test v4 :2.057521930609596e-009
dist. expected v5 :5.8800455724684744
cum. density train v5 :4.1149592052258654e-005
cum. density test v5 :2.057521930609596e-009
parentId:
63 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.8266791342004858
creation time: 4.109
#id:66
a
← j (temp) [ -20 -4.5077499998267747 ]
( 6 10 8 13 8 4 4 6 4 8 2 14 3 7 8 5 6 6 8 7 6 12 8 9 8 4 8 10 2 4 8 )
← r (temp) [ -3.992000000178813 -0.49025000021793019 ]
( 19 34 19 26 24 40 32 )
BASE: confidence: 0.72906404733657837 confidence bounds at 95%: [ 0.66792422533035278 , 0.79020386934280396 ] support: 0.056330174207687378 number of use :203 number of events to predict :3586 number of events predicted: 202 dataset range :99988.185138863177
OLD: confidence: 0.71563982963562012 confidence bounds at 95%: [ 0.65477079153060913 , 0.7765088677406311 ] support: 0.06196165457367897 number of use :211 number of events to predict :3599 number of events predicted: 223 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="66" score="-9.8266791342004858" creationTime="4.109" confidence = "0.72906404733657837" support = "0.056330174207687378" number_of_use = "203" number_of_events_to_predict = "3586" number_of_events_predicted = "202" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.039775869445696443" baseconfidence = "0.72906404733657837" basesupport = "0.056330174207687378" basenumber_of_use = "203" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "202" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.039775869445696443" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.492250000173225" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.71563982963562012" oldsupport = "0.06196165457367897" oldnumber_of_use = "211" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "223" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.041331532025280615" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.492250000173225" testexpConfidence = "-1" testexpSupport = "-1" parentId="63" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
215
similarId: *none*
base
Show/Hide
confidence: 0.5684008002281189
confidence bounds at 95%: [ 0.52578800916671753 , 0.61101359128952026 ]
support: 0.089514777064323425
number of use :519
number of events to predict :3586
number of events predicted: 321
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :7.7949506250711362
density v1 :2.5513564146567458e-014
cum. density train v1 :6.6613381477509392e-011
cum. density test v1 :3.3306690738754696e-015
density v2 :2.6161268075207793e-015
density ln. v2 :-40.073719069014309
dist. expected v3 :6.9987051196042902
density v3 :9.2178876594243921e-012
cum. density train v3 :2.6001423014676561e-008
cum. density test v3 :1.3000711618360583e-012
dist. expected v4 :6.9300771647810668
cum. density train v4 :4.2326141813653351e-008
cum. density test v4 :2.1163071295404734e-012
dist. expected v5 :6.9300771647810588
cum. density train v5 :4.2326141813653351e-008
cum. density test v5 :2.1163071295404734e-012
old
Show/Hide
confidence: 0.50850659608840942
confidence bounds at 95%: [ 0.46590405702590942 , 0.55110913515090942 ]
support: 0.08224506676197052
number of use :529
number of events to predict :3599
number of events predicted: 296
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :4.4644368886494874
density v1 :1.8745873691155076e-005
cum. density train v1 :0.077207248086893054
cum. density test v1 :4.0175222879579309e-006
density v2 :0.00013298908189208203
density ln. v2 :-16.253668621751125
dist. expected v3 :4.2072943827089224
density v3 :5.7163124468763016e-005
cum. density train v3 :0.22787696458796269
cum. density test v3 :1.2930484868611813e-005
dist. expected v4 :4.1647087507271685
cum. density train v4 :0.26797333706301396
cum. density test v4 :1.5596795414074549e-005
dist. expected v5 :4.1647087507271605
cum. density train v5 :0.26797333706301396
cum. density test v5 :1.5596795414074549e-005
parentId:
201 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.8293804408236394
creation time: 4.4630000000000001
#id:215
a
← r (temp) [ -19.500249999994409 -5.0074999998323619 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.5684008002281189 confidence bounds at 95%: [ 0.52578800916671753 , 0.61101359128952026 ] support: 0.089514777064323425 number of use :519 number of events to predict :3586 number of events predicted: 321 dataset range :99988.185138863177
OLD: confidence: 0.50850659608840942 confidence bounds at 95%: [ 0.46590405702590942 , 0.55110913515090942 ] support: 0.08224506676197052 number of use :529 number of events to predict :3599 number of events predicted: 296 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="215" score="-9.8293804408236394" creationTime="4.4630000000000001" confidence = "0.5684008002281189" support = "0.089514777064323425" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "321" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.5684008002281189" basesupport = "0.089514777064323425" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "321" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.492750000162047" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.50850659608840942" oldsupport = "0.08224506676197052" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "296" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.492750000162047" testexpConfidence = "-1" testexpSupport = "-1" parentId="201" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
725
similarId: *none*
base
Show/Hide
confidence: 0.36640000343322754
confidence bounds at 95%: [ 0.32862526178359985 , 0.40417474508285522 ]
support: 0.068878971040248871
number of use :625
number of events to predict :3586
number of events predicted: 247
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.8140876485628233e-009
density ln. v2 :10.243765857595639
dist. expected v3 :-7.4679576566363037
density v3 :3.094022100244484e-013
cum. density train v3 :1
cum. density test v3 :0.99999999999995892
dist. expected v4 :-7.3204616499531596
cum. density train v4 :1
cum. density test v4 :0.99999999999987543
dist. expected v5 :-7.32046164995318
cum. density train v5 :1
cum. density test v5 :0.99999999999987543
old
Show/Hide
confidence: 0.3174603283405304
confidence bounds at 95%: [ 0.2828027606010437 , 0.35211789608001709 ]
support: 0.065018057823181152
number of use :693
number of events to predict :3599
number of events predicted: 234
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :7.0608554103814843e-021
density ln. v2 :10.845059727742319
dist. expected v3 :-10.572473076401064
density v3 :2.1320742156364582e-025
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-10.32750285043547
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-10.327502850435435
cum. density train v5 :1
cum. density test v5 :1
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.8412068482357427
creation time: 6.0640000000000001
#id:725
a
← r (temp) [ -3.5082499998155972 -2.008999999798835 ]
( 79 76 111 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.36640000343322754 confidence bounds at 95%: [ 0.32862526178359985 , 0.40417474508285522 ] support: 0.068878971040248871 number of use :625 number of events to predict :3586 number of events predicted: 247 dataset range :99988.185138863177
OLD: confidence: 0.3174603283405304 confidence bounds at 95%: [ 0.2828027606010437 , 0.35211789608001709 ] support: 0.065018057823181152 number of use :693 number of events to predict :3599 number of events predicted: 234 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="725" score="-9.8412068482357427" creationTime="6.0640000000000001" confidence = "0.36640000343322754" support = "0.068878971040248871" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "247" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.36640000343322754" basesupport = "0.068878971040248871" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "247" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167621" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.3174603283405304" oldsupport = "0.065018057823181152" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "234" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167621" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="79"/><i v="76"/><i v="111"/></values>
<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
188
similarId: *none*
base
Show/Hide
confidence: 0.547993004322052
confidence bounds at 95%: [ 0.50724196434020996 , 0.58874404430389404 ]
support: 0.093976572155952454
number of use :573
number of events to predict :3586
number of events predicted: 337
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :4.4112976190612168
density v1 :2.3731390911693322e-005
cum. density train v1 :0.097726992586019579
cum. density test v1 :5.1418935674840682e-006
density v2 :1.3135867685937585e-007
density ln. v2 :-22.894796968832054
dist. expected v3 :4.3037215895430814
density v3 :3.7923169759976342e-005
cum. density train v3 :0.15470895813375896
cum. density test v3 :8.4036788230434922e-006
dist. expected v4 :4.2447665300273894
cum. density train v4 :0.1966524856133175
cum. density test v4 :1.0948334494442769e-005
dist. expected v5 :4.2447665300273796
cum. density train v5 :0.1966524856133175
cum. density test v5 :1.0948334494442769e-005
old
Show/Hide
confidence: 0.48063379526138306
confidence bounds at 95%: [ 0.43954476714134216 , 0.52172285318374634 ]
support: 0.08196721225976944
number of use :568
number of events to predict :3599
number of events predicted: 295
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :1.096317225239849
density v1 :0.21873501424853814
cum. density train v1 :1
cum. density test v1 :0.13647003010976133
density v2 :2.9156582837104845
density ln. v2 :-3.6996443630070646
dist. expected v3 :0.99529917942165824
density v3 :0.24310817709207164
cum. density train v3 :1
cum. density test v3 :0.15979539646043028
dist. expected v4 :0.98186384953167383
cum. density train v4 :1
cum. density test v4 :0.16308346652622752
dist. expected v5 :0.98186384953167383
cum. density train v5 :1
cum. density test v5 :0.16308346652622752
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.8432626813456228
creation time: 4.3710000000000004
#id:188
a
← r (temp) [ -18.500749999983238 -4.5077499998267747 ]
( 13 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 9 16 15 13 17 10 16 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.547993004322052 confidence bounds at 95%: [ 0.50724196434020996 , 0.58874404430389404 ] support: 0.093976572155952454 number of use :573 number of events to predict :3586 number of events predicted: 337 dataset range :99988.185138863177
OLD: confidence: 0.48063379526138306 confidence bounds at 95%: [ 0.43954476714134216 , 0.52172285318374634 ] support: 0.08196721225976944 number of use :568 number of events to predict :3599 number of events predicted: 295 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="188" score="-9.8432626813456228" creationTime="4.3710000000000004" confidence = "0.547993004322052" support = "0.093976572155952454" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "337" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.547993004322052" basesupport = "0.093976572155952454" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "337" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.993000000156464" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.48063379526138306" oldsupport = "0.08196721225976944" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "295" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.993000000156464" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
53
similarId: *none*
base
Show/Hide
confidence: 0.1653333306312561
confidence bounds at 95%: [ 0.15593355894088745 , 0.17473310232162476 ]
support: 0.2660345733165741
number of use :6000
number of events to predict :3586
number of events predicted: 954
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :-35.674307395395452
dist. expected v3 :-43.655342848214175
density v3 :0
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-54.817473080720418
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-54.817473080719282
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.15983332693576813
confidence bounds at 95%: [ 0.15056082606315613 , 0.16910582780838013 ]
support: 0.26118364930152893
number of use :6000
number of events to predict :3599
number of events predicted: 940
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :-65.846918378298597
dist. expected v3 :-44.413860313488215
density v3 :0
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-55.68383222826283
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-55.683832228264045
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -9.8469243821106129
creation time: 3.6019999999999999
#id:53
a
← r (temp) [ -4.0079999998211857 -3.0084999998100099 ]
( 393 637 )
BASE: confidence: 0.1653333306312561 confidence bounds at 95%: [ 0.15593355894088745 , 0.17473310232162476 ] support: 0.2660345733165741 number of use :6000 number of events to predict :3586 number of events predicted: 954 dataset range :99988.185138863177
OLD: confidence: 0.15983332693576813 confidence bounds at 95%: [ 0.15056082606315613 , 0.16910582780838013 ] support: 0.26118364930152893 number of use :6000 number of events to predict :3599 number of events predicted: 940 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="53" score="-9.8469243821106129" creationTime="3.6019999999999999" confidence = "0.1653333306312561" support = "0.2660345733165741" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "954" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.1653333306312561" basesupport = "0.2660345733165741" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "954" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.99950000001117578" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.15983332693576813" oldsupport = "0.26118364930152893" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "940" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.99950000001117578" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="393"/><i v="637"/></values>
<bounds><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
382
similarId: *none*
base
Show/Hide
confidence: 0.34053367376327515
confidence bounds at 95%: [ 0.30742475390434265 , 0.37364259362220764 ]
support: 0.079196877777576447
number of use :787
number of events to predict :3586
number of events predicted: 284
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :27.249307127444709
density v1 :2.3105303084089969e-162
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.1513706090732295e-080
density ln. v2 :-57.941794563792548
dist. expected v3 :19.422912325862203
density v3 :4.8107960829608374e-083
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :19.353002589515999
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :19.353002589515835
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.32038834691047668
confidence bounds at 95%: [ 0.2885272204875946 , 0.35224947333335876 ]
support: 0.076132260262966156
number of use :824
number of events to predict :3599
number of events predicted: 274
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :24.87304534394455
density v1 :1.8145847978480017e-135
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.9195739216996723e-069
density ln. v2 :-55.073375015627157
dist. expected v3 :17.978844738563829
density v3 :2.5732610939631704e-071
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :17.909340327401566
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :17.909340327401821
cum. density train v5 :0
cum. density test v5 :0
parentId:
379 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.8548815842586919
creation time: 4.9249999999999998
#id:382
a
← r (temp) [ -3.5082499998155972 -2.008999999798835 ]
( 97 89 120 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.34053367376327515 confidence bounds at 95%: [ 0.30742475390434265 , 0.37364259362220764 ] support: 0.079196877777576447 number of use :787 number of events to predict :3586 number of events predicted: 284 dataset range :99988.185138863177
OLD: confidence: 0.32038834691047668 confidence bounds at 95%: [ 0.2885272204875946 , 0.35224947333335876 ] support: 0.076132260262966156 number of use :824 number of events to predict :3599 number of events predicted: 274 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="382" score="-9.8548815842586919" creationTime="4.9249999999999998" confidence = "0.34053367376327515" support = "0.079196877777576447" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "284" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.34053367376327515" basesupport = "0.079196877777576447" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "284" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167621" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.32038834691047668" oldsupport = "0.076132260262966156" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "274" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167621" testexpConfidence = "-1" testexpSupport = "-1" parentId="379" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="97"/><i v="89"/><i v="120"/></values>
<bounds><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="125"/><i v="124"/><i v="105"/><i v="104"/><i v="136"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
332
similarId: *none*
base
Show/Hide
confidence: 0.7008928656578064
confidence bounds at 95%: [ 0.64093154668807983 , 0.76085418462753296 ]
support: 0.066369213163852692
number of use :224
number of events to predict :3586
number of events predicted: 238
dataset range :99988.185138863177
rule range :18.990500000212339
exp. confidence :0.49396249136343995
exp. support :0.041655332094502451
std. error exp. confidence :0.033405219631274331
std. error exp. support :0.0033364991873627804
dist. expected v1 :9.6559847404239996
density v1 :2.2621773213428134e-021
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.1479927164208351e-006
density ln. v2 :-11.606338742882025
dist. expected v3 :6.2165089875506077
density v3 :1.6190431192352431e-009
cum. density train v3 :5.1043905513470378e-006
cum. density test v3 :2.5522017832457777e-010
dist. expected v4 :6.1977876300214447
cum. density train v4 :5.7496220338126847e-006
cum. density test v4 :2.8748192715255527e-010
dist. expected v5 :6.1977876300214403
cum. density train v5 :5.7496220338126847e-006
cum. density test v5 :2.8748192715255527e-010
old
Show/Hide
confidence: 0.68200838565826416
confidence bounds at 95%: [ 0.62296652793884277 , 0.74105024337768555 ]
support: 0.066129483282566071
number of use :239
number of events to predict :3599
number of events predicted: 238
dataset range :99936.387513848851
rule range :18.990500000212339
exp. confidence :0.4953893467247662
exp. support :0.044404431591103521
std. error exp. confidence :0.032340936264718109
std. error exp. support :0.0034336758800083281
dist. expected v1 :8.5632197390912506
density v1 :4.7618769022168399e-017
cum. density train v1 :0
cum. density test v1 :0
density v2 :9.7464238757502119e-006
density ln. v2 :-11.987139402814664
dist. expected v3 :5.7894441139950681
density v3 :2.1020449070966151e-008
cum. density train v3 :7.0835040705041763e-005
cum. density test v3 :3.5418774579909496e-009
dist. expected v4 :5.769767393761744
cum. density train v4 :7.9619152441035013e-005
cum. density test v4 :3.9811161034464249e-009
dist. expected v5 :5.7697673937617466
cum. density train v5 :7.9619152441035013e-005
cum. density test v5 :3.9811161034464249e-009
parentId:
311 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.8598984507698511
creation time: 4.7530000000000001
#id:332
a
← j (temp) [ -20 -1.009499999787657 ]
( 8 11 8 13 9 5 5 6 5 8 0 14 4 7 9 5 6 8 10 7 0 0 0 0 0 0 0 0 0 0 10 13 7 15 11 12 15 18 )
← r (temp) [ -3.992000000178813 0.0099999997764825821 ]
( 15 29 14 23 17 30 26 22 )
BASE: confidence: 0.7008928656578064 confidence bounds at 95%: [ 0.64093154668807983 , 0.76085418462753296 ] support: 0.066369213163852692 number of use :224 number of events to predict :3586 number of events predicted: 238 dataset range :99988.185138863177
OLD: confidence: 0.68200838565826416 confidence bounds at 95%: [ 0.62296652793884277 , 0.74105024337768555 ] support: 0.066129483282566071 number of use :239 number of events to predict :3599 number of events predicted: 238 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="332" score="-9.8598984507698511" creationTime="4.7530000000000001" confidence = "0.7008928656578064" support = "0.066369213163852692" number_of_use = "224" number_of_events_to_predict = "3586" number_of_events_predicted = "238" datasetrange = "99988.185138863177" rulerange = "18.990500000212339" expConfidence = "0.49396249136343995" expSupport = "0.041655332094502451" baseconfidence = "0.7008928656578064" basesupport = "0.066369213163852692" basenumber_of_use = "224" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "238" basedatasetrange = "99988.185138863177" baserulerange = "18.990500000212339" baseexpConfidence = "0.49396249136343995" baseexpSupport = "0.041655332094502451" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.990500000212343" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.68200838565826416" oldsupport = "0.066129483282566071" oldnumber_of_use = "239" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "238" olddatasetrange = "99936.387513848851" oldrulerange = "18.990500000212339" oldexpConfidence = "0.4953893467247662" oldexpSupport = "0.044404431591103521" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.990500000212343" testexpConfidence = "-1" testexpSupport = "-1" parentId="311" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="8"/><i v="11"/><i v="8"/><i v="13"/><i v="9"/><i v="5"/><i v="5"/><i v="6"/><i v="5"/><i v="8"/><i v="0"/><i v="14"/><i v="4"/><i v="7"/><i v="9"/><i v="5"/><i v="6"/><i v="8"/><i v="10"/><i v="7"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="10"/><i v="13"/><i v="7"/><i v="15"/><i v="11"/><i v="12"/><i v="15"/><i v="18"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
631
similarId: *none*
base
Show/Hide
confidence: 0.5684008002281189
confidence bounds at 95%: [ 0.52578800916671753 , 0.61101359128952026 ]
support: 0.089514777064323425
number of use :519
number of events to predict :3586
number of events predicted: 321
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :7.7949506250711362
density v1 :2.5513564146567458e-014
cum. density train v1 :6.6613381477509392e-011
cum. density test v1 :3.3306690738754696e-015
density v2 :2.6161268075207793e-015
density ln. v2 :-40.073719069014309
dist. expected v3 :6.9987051196042902
density v3 :9.2178876594243921e-012
cum. density train v3 :2.6001423014676561e-008
cum. density test v3 :1.3000711618360583e-012
dist. expected v4 :6.9300771647810668
cum. density train v4 :4.2326141813653351e-008
cum. density test v4 :2.1163071295404734e-012
dist. expected v5 :6.9300771647810588
cum. density train v5 :4.2326141813653351e-008
cum. density test v5 :2.1163071295404734e-012
old
Show/Hide
confidence: 0.50850659608840942
confidence bounds at 95%: [ 0.46590405702590942 , 0.55110913515090942 ]
support: 0.08224506676197052
number of use :529
number of events to predict :3599
number of events predicted: 296
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :4.4644368886494874
density v1 :1.8745873691155076e-005
cum. density train v1 :0.077207248086893054
cum. density test v1 :4.0175222879579309e-006
density v2 :0.00013298908189208203
density ln. v2 :-16.253668621751125
dist. expected v3 :4.2072943827089224
density v3 :5.7163124468763016e-005
cum. density train v3 :0.22787696458796269
cum. density test v3 :1.2930484868611813e-005
dist. expected v4 :4.1647087507271685
cum. density train v4 :0.26797333706301396
cum. density test v4 :1.5596795414074549e-005
dist. expected v5 :4.1647087507271605
cum. density train v5 :0.26797333706301396
cum. density test v5 :1.5596795414074549e-005
parentId:
617 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -9.8699269534273988
creation time: 5.7990000000000004
#id:631
a
← r (temp) [ -19.500249999994409 -5.0074999998323619 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.5684008002281189 confidence bounds at 95%: [ 0.52578800916671753 , 0.61101359128952026 ] support: 0.089514777064323425 number of use :519 number of events to predict :3586 number of events predicted: 321 dataset range :99988.185138863177
OLD: confidence: 0.50850659608840942 confidence bounds at 95%: [ 0.46590405702590942 , 0.55110913515090942 ] support: 0.08224506676197052 number of use :529 number of events to predict :3599 number of events predicted: 296 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="631" score="-9.8699269534273988" creationTime="5.7990000000000004" confidence = "0.5684008002281189" support = "0.089514777064323425" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "321" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.5684008002281189" basesupport = "0.089514777064323425" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "321" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.492750000162047" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.50850659608840942" oldsupport = "0.08224506676197052" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "296" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.492750000162047" testexpConfidence = "-1" testexpSupport = "-1" parentId="617" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
319
similarId: *none*
base
Show/Hide
confidence: 0.7008928656578064
confidence bounds at 95%: [ 0.64093154668807983 , 0.76085418462753296 ]
support: 0.064696043729782104
number of use :224
number of events to predict :3586
number of events predicted: 232
dataset range :99988.185138863177
rule range :18.990500000212339
exp. confidence :0.49396249136343995
exp. support :0.041655332094502451
std. error exp. confidence :0.033405219631274331
std. error exp. support :0.0033364991873627804
dist. expected v1 :9.2768822505134452
density v1 :8.1865386864870512e-020
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.9561869797215075e-007
density ln. v2 :-14.712748993073363
dist. expected v3 :6.2133924522517736
density v3 :1.6507082213660378e-009
cum. density train v3 :5.2066681980322826e-006
cum. density test v3 :2.6033408762060617e-010
dist. expected v4 :6.194680480339473
cum. density train v4 :5.8641453141161648e-006
cum. density test v4 :2.9320812444666444e-010
dist. expected v5 :6.1946804803394695
cum. density train v5 :5.8641453141161648e-006
cum. density test v5 :2.9320812444666444e-010
old
Show/Hide
confidence: 0.69037657976150513
confidence bounds at 95%: [ 0.63176047801971436 , 0.7489926815032959 ]
support: 0.067240901291370392
number of use :239
number of events to predict :3599
number of events predicted: 242
dataset range :99936.387513848851
rule range :18.990500000212339
exp. confidence :0.4953893467247662
exp. support :0.044404431591103521
std. error exp. confidence :0.032340936264718109
std. error exp. support :0.0034336758800083281
dist. expected v1 :8.9767762770476747
density v1 :1.2666010531846765e-018
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.5202249449372792e-006
density ln. v2 :-13.452373601558744
dist. expected v3 :6.0493294534848676
density v3 :4.5137752397528827e-009
cum. density train v3 :1.4598775627705507e-005
cum. density test v3 :7.2994410516002972e-010
dist. expected v4 :6.0287694548197646
cum. density train v4 :1.658150091232713e-005
cum. density test v4 :8.2908191423314292e-010
dist. expected v5 :6.0287694548197672
cum. density train v5 :1.658150091232713e-005
cum. density test v5 :8.2908191423314292e-010
parentId:
311 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.9109648493904565
creation time: 4.7370000000000001
#id:319
a
← j (temp) [ -20 -1.009499999787657 ]
( 8 11 8 13 9 5 5 6 5 8 2 14 4 7 9 5 6 8 10 0 0 0 0 0 0 0 0 0 0 0 10 13 7 15 11 12 15 18 )
← r (temp) [ -3.992000000178813 0.0099999997764825821 ]
( 15 29 14 23 17 30 26 22 )
BASE: confidence: 0.7008928656578064 confidence bounds at 95%: [ 0.64093154668807983 , 0.76085418462753296 ] support: 0.064696043729782104 number of use :224 number of events to predict :3586 number of events predicted: 232 dataset range :99988.185138863177
OLD: confidence: 0.69037657976150513 confidence bounds at 95%: [ 0.63176047801971436 , 0.7489926815032959 ] support: 0.067240901291370392 number of use :239 number of events to predict :3599 number of events predicted: 242 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="319" score="-9.9109648493904565" creationTime="4.7370000000000001" confidence = "0.7008928656578064" support = "0.064696043729782104" number_of_use = "224" number_of_events_to_predict = "3586" number_of_events_predicted = "232" datasetrange = "99988.185138863177" rulerange = "18.990500000212339" expConfidence = "0.49396249136343995" expSupport = "0.041655332094502451" baseconfidence = "0.7008928656578064" basesupport = "0.064696043729782104" basenumber_of_use = "224" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "232" basedatasetrange = "99988.185138863177" baserulerange = "18.990500000212339" baseexpConfidence = "0.49396249136343995" baseexpSupport = "0.041655332094502451" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.990500000212343" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.69037657976150513" oldsupport = "0.067240901291370392" oldnumber_of_use = "239" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "242" olddatasetrange = "99936.387513848851" oldrulerange = "18.990500000212339" oldexpConfidence = "0.4953893467247662" oldexpSupport = "0.044404431591103521" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.990500000212343" testexpConfidence = "-1" testexpSupport = "-1" parentId="311" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
217
similarId: *none*
base
Show/Hide
confidence: 0.56262040138244629
confidence bounds at 95%: [ 0.51994186639785767 , 0.60529893636703491 ]
support: 0.087562747299671173
number of use :519
number of events to predict :3586
number of events predicted: 314
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :7.3692054731711973
density v1 :6.4370671365818454e-013
cum. density train v1 :1.7297274723659939e-009
cum. density test v1 :8.6486373618299694e-014
density v2 :1.2059713608944175e-014
density ln. v2 :-38.932999127307212
dist. expected v3 :6.7242195505582005
density v3 :6.0613540012613457e-011
cum. density train v3 :1.7752464642750709e-007
cum. density test v3 :8.8762330818781265e-012
dist. expected v4 :6.6582831483736724
cum. density train v4 :2.7854159734275186e-007
cum. density test v4 :1.3927081710107814e-011
dist. expected v5 :6.6582831483736644
cum. density train v5 :2.7854159734275186e-007
cum. density test v5 :1.3927081710107814e-011
old
Show/Hide
confidence: 0.49905481934547424
confidence bounds at 95%: [ 0.45644620060920715 , 0.54166346788406372 ]
support: 0.079188667237758636
number of use :529
number of events to predict :3599
number of events predicted: 285
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :3.8720245271289464
density v1 :0.00022146953829837939
cum. density train v1 :0.6603335151265084
cum. density test v1 :5.3988096072155045e-005
density v2 :0.00049524451608871022
density ln. v2 :-15.028223884757029
dist. expected v3 :3.7552422340685339
density v3 :0.00034572715910875822
cum. density train v3 :0.82313242551518528
cum. density test v3 :8.6613948454217216e-005
dist. expected v4 :3.7172322092792962
cum. density train v4 :0.86666106332244697
cum. density test v4 :0.00010073797540655072
dist. expected v5 :3.7172322092792895
cum. density train v5 :0.86666106332244697
cum. density test v5 :0.00010073797540655072
parentId:
201 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.9143628359957585
creation time: 4.4669999999999996
#id:217
a
← r (temp) [ -19.500249999994409 -5.0074999998323619 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 0 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.56262040138244629 confidence bounds at 95%: [ 0.51994186639785767 , 0.60529893636703491 ] support: 0.087562747299671173 number of use :519 number of events to predict :3586 number of events predicted: 314 dataset range :99988.185138863177
OLD: confidence: 0.49905481934547424 confidence bounds at 95%: [ 0.45644620060920715 , 0.54166346788406372 ] support: 0.079188667237758636 number of use :529 number of events to predict :3599 number of events predicted: 285 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="217" score="-9.9143628359957585" creationTime="4.4669999999999996" confidence = "0.56262040138244629" support = "0.087562747299671173" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "314" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.56262040138244629" basesupport = "0.087562747299671173" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "314" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.492750000162047" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.49905481934547424" oldsupport = "0.079188667237758636" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "285" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.492750000162047" testexpConfidence = "-1" testexpSupport = "-1" parentId="201" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
220
similarId: *none*
base
Show/Hide
confidence: 0.55684006214141846
confidence bounds at 95%: [ 0.51410168409347534 , 0.59957844018936157 ]
support: 0.087562747299671173
number of use :519
number of events to predict :3586
number of events predicted: 314
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :7.1241552281701068
density v1 :3.8010932593823625e-012
cum. density train v1 :1.0544898287889737e-008
cum. density test v1 :5.2724491439448684e-013
density v2 :5.9982784319651131e-013
density ln. v2 :-34.898197828816379
dist. expected v3 :6.4625270036530464
density v3 :3.4034334498284153e-010
cum. density train v3 :1.0346496143176509e-006
cum. density test v3 :5.1732507166946107e-011
dist. expected v4 :6.3991567081953589
cum. density train v4 :1.5696187621871971e-006
cum. density test v4 :7.8480999476937541e-011
dist. expected v5 :6.3991567081953518
cum. density train v5 :1.5696187621871971e-006
cum. density test v5 :7.8480999476937541e-011
old
Show/Hide
confidence: 0.49905481934547424
confidence bounds at 95%: [ 0.45644620060920715 , 0.54166346788406372 ]
support: 0.080855794250965118
number of use :529
number of events to predict :3599
number of events predicted: 291
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :3.9530408419914518
density v1 :0.0001613064667114998
cum. density train v1 :0.53790856218478189
cum. density test v1 :3.8598879550821863e-005
density v2 :0.0020335288417747208
density ln. v2 :-13.590395926865465
dist. expected v3 :3.7664301966706653
density v3 :0.00033148210012552226
cum. density train v3 :0.80920939114610912
cum. density test v3 :8.282550682947587e-005
dist. expected v4 :3.7283069289241588
cum. density train v4 :0.85461513005432255
cum. density test v4 :9.641389075421003e-005
dist. expected v5 :3.7283069289241526
cum. density train v5 :0.85461513005432255
cum. density test v5 :9.641389075421003e-005
parentId:
201 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.9205799191996267
creation time: 4.4710000000000001
#id:220
a
← r (temp) [ -19.000499999988829 -5.0074999998323619 ]
( 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.55684006214141846 confidence bounds at 95%: [ 0.51410168409347534 , 0.59957844018936157 ] support: 0.087562747299671173 number of use :519 number of events to predict :3586 number of events predicted: 314 dataset range :99988.185138863177
OLD: confidence: 0.49905481934547424 confidence bounds at 95%: [ 0.45644620060920715 , 0.54166346788406372 ] support: 0.080855794250965118 number of use :529 number of events to predict :3599 number of events predicted: 291 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="220" score="-9.9205799191996267" creationTime="4.4710000000000001" confidence = "0.55684006214141846" support = "0.087562747299671173" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "314" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.55684006214141846" basesupport = "0.087562747299671173" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "314" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.993000000156467" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.49905481934547424" oldsupport = "0.080855794250965118" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "291" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.993000000156467" testexpConfidence = "-1" testexpSupport = "-1" parentId="201" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
<values></values>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="34"/><i v="32"/><i v="25"/><i v="23"/><i v="36"/><i v="34"/><i v="32"/><i v="31"/><i v="30"/><i v="30"/></values>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
83
similarId: *none*
base
Show/Hide
confidence: 0.71428573131561279
confidence bounds at 95%: [ 0.65214020013809204 , 0.77643126249313354 ]
support: 0.054935861378908157
number of use :203
number of events to predict :3586
number of events predicted: 197
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.039775869445696443
std. error exp. confidence :0.035083372367853513
std. error exp. support :0.0032635555244750571
dist. expected v1 :7.40906990355177
density v1 :4.7946909699272184e-013
cum. density train v1 :1.283417816466681e-009
cum. density test v1 :6.4170890823334048e-014
density v2 :1.5091750766810427e-008
density ln. v2 :-23.9217069235997
dist. expected v3 :5.7779540168897281
density v3 :2.2464830402774832e-008
cum. density train v3 :7.5842829135752687e-005
cum. density test v3 :3.7922852635929871e-009
dist. expected v4 :5.7623268475201259
cum. density train v4 :8.3209468024092459e-005
cum. density test v4 :4.1606464940002752e-009
dist. expected v5 :5.7623268475201286
cum. density train v5 :8.3209468024092459e-005
cum. density test v5 :4.1606464940002752e-009
old
Show/Hide
confidence: 0.70616114139556885
confidence bounds at 95%: [ 0.64469707012176514 , 0.76762521266937256 ]
support: 0.062517367303371429
number of use :211
number of events to predict :3599
number of events predicted: 225
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.041331532025280615
std. error exp. confidence :0.034409361896585826
std. error exp. support :0.0033180585855830573
dist. expected v1 :8.4973561101760176
density v1 :8.3518044400505827e-017
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.5969122542814598e-005
density ln. v2 :-11.436231418978098
dist. expected v3 :5.6236129866435887
density v3 :5.4153130963453692e-008
cum. density train v3 :0.00018749556387365196
cum. density test v3 :9.3756571395431365e-009
dist. expected v4 :5.6072600083045039
cum. density train v4 :0.00020608568952018569
cum. density test v4 :1.0305346354044786e-008
dist. expected v5 :5.6072600083045003
cum. density train v5 :0.00020608568952018569
cum. density test v5 :1.0305346354044786e-008
parentId:
63 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.9259317193669965
creation time: 4.133
#id:83
a
← j (temp) [ -17.50124999997206 -2.5087499998044218 ]
( 4 4 6 4 8 2 14 3 7 8 5 6 6 8 7 6 12 8 9 8 4 8 10 2 4 8 12 7 13 9 )
← r (temp) [ -3.992000000178813 -0.49025000021793019 ]
( 19 34 19 26 24 40 32 )
BASE: confidence: 0.71428573131561279 confidence bounds at 95%: [ 0.65214020013809204 , 0.77643126249313354 ] support: 0.054935861378908157 number of use :203 number of events to predict :3586 number of events predicted: 197 dataset range :99988.185138863177
OLD: confidence: 0.70616114139556885 confidence bounds at 95%: [ 0.64469707012176514 , 0.76762521266937256 ] support: 0.062517367303371429 number of use :211 number of events to predict :3599 number of events predicted: 225 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="83" score="-9.9259317193669965" creationTime="4.133" confidence = "0.71428573131561279" support = "0.054935861378908157" number_of_use = "203" number_of_events_to_predict = "3586" number_of_events_predicted = "197" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.039775869445696443" baseconfidence = "0.71428573131561279" basesupport = "0.054935861378908157" basenumber_of_use = "203" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "197" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.039775869445696443" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.992500000167638" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.70616114139556885" oldsupport = "0.062517367303371429" oldnumber_of_use = "211" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "225" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.041331532025280615" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.992500000167638" testexpConfidence = "-1" testexpSupport = "-1" parentId="63" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
540
similarId: *none*
base
Show/Hide
confidence: 0.3640730082988739
confidence bounds at 95%: [ 0.33484300971031189 , 0.39330300688743591 ]
support: 0.10206358134746552
number of use :1041
number of events to predict :3586
number of events predicted: 366
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.5522818060475163e-019
density ln. v2 :30.805443103069365
dist. expected v3 :-10.276794923732893
density v3 :4.6499048006971813e-024
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-9.8624411679839739
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-9.8624411679840271
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.3435039222240448
confidence bounds at 95%: [ 0.31430336833000183 , 0.37270447611808777 ]
support: 0.094470687210559845
number of use :1016
number of events to predict :3599
number of events predicted: 340
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.4216181730766355e-024
density ln. v2 :29.409301848386864
dist. expected v3 :-11.516566790101686
density v3 :6.3151969387310499e-030
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-11.065045389569796
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-11.065045389569734
cum. density train v5 :1
cum. density test v5 :1
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.9275002606859353
creation time: 5.4640000000000004
#id:540
a
← r (temp) [ -3.5082499998155972 -0.0099999997764825821 ]
( 116 0 0 0 102 103 88 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.3640730082988739 confidence bounds at 95%: [ 0.33484300971031189 , 0.39330300688743591 ] support: 0.10206358134746552 number of use :1041 number of events to predict :3586 number of events predicted: 366 dataset range :99988.185138863177
OLD: confidence: 0.3435039222240448 confidence bounds at 95%: [ 0.31430336833000183 , 0.37270447611808777 ] support: 0.094470687210559845 number of use :1016 number of events to predict :3599 number of events predicted: 340 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="540" score="-9.9275002606859353" creationTime="5.4640000000000004" confidence = "0.3640730082988739" support = "0.10206358134746552" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "366" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.3640730082988739" basesupport = "0.10206358134746552" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "366" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.4982500000391146" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.3435039222240448" oldsupport = "0.094470687210559845" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "340" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.4982500000391146" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="53"/><i v="53"/><i v="50"/><i v="45"/><i v="52"/><i v="45"/><i v="56"/><i v="57"/><i v="43"/><i v="50"/><i v="48"/><i v="47"/><i v="45"/><i v="39"/><i v="51"/><i v="47"/><i v="55"/><i v="47"/><i v="44"/><i v="48"/></values>
<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
2
similarId: *none*
base
Show/Hide
confidence: 0.38999998569488525
confidence bounds at 95%: [ 0.35976892709732056 , 0.42023104429244995 ]
support: 0.12130507826805115
number of use :1000
number of events to predict :3586
number of events predicted: 435
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.0308430802744433e-010
density ln. v2 :8.9318497033912916
dist. expected v3 :-8.1293350787121241
density v3 :1.780320582679301e-015
cum. density train v3 :1
cum. density test v3 :0.99999999999999978
dist. expected v4 :-7.8170236912289379
cum. density train v4 :1
cum. density test v4 :0.99999999999999734
dist. expected v5 :-7.8170236912289797
cum. density train v5 :1
cum. density test v5 :0.99999999999999734
old
Show/Hide
confidence: 0.36800000071525574
confidence bounds at 95%: [ 0.33810913562774658 , 0.39789086580276489 ]
support: 0.1203112006187439
number of use :1000
number of events to predict :3599
number of events predicted: 433
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :7.2390999199991609e-016
density ln. v2 :-0.86738244679056375
dist. expected v3 :-9.5254504309026036
density v3 :7.9109309201817245e-021
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-9.1591401129406691
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-9.1591401129406194
cum. density train v5 :1
cum. density test v5 :1
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -9.9307372678297448
creation time: 3.4430000000000001
#id:2
a
← j (temp) [ -20 -13.00349999992177 ]
( 29 40 23 34 41 30 28 28 32 32 27 41 37 35 )
BASE: confidence: 0.38999998569488525 confidence bounds at 95%: [ 0.35976892709732056 , 0.42023104429244995 ] support: 0.12130507826805115 number of use :1000 number of events to predict :3586 number of events predicted: 435 dataset range :99988.185138863177
OLD: confidence: 0.36800000071525574 confidence bounds at 95%: [ 0.33810913562774658 , 0.39789086580276489 ] support: 0.1203112006187439 number of use :1000 number of events to predict :3599 number of events predicted: 433 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="2" score="-9.9307372678297448" creationTime="3.4430000000000001" confidence = "0.38999998569488525" support = "0.12130507826805115" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "435" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.38999998569488525" basesupport = "0.12130507826805115" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "435" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "6.99650000007823" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.36800000071525574" oldsupport = "0.1203112006187439" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "433" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "6.99650000007823" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
187
similarId: *none*
base
Show/Hide
confidence: 0.53926700353622437
confidence bounds at 95%: [ 0.49845334887504578 , 0.58008062839508057 ]
support: 0.091187953948974609
number of use :573
number of events to predict :3586
number of events predicted: 327
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :3.9851342062069293
density v1 :0.00014201386646836111
cum. density train v1 :0.49071078960736625
cum. density test v1 :3.3736392439420726e-005
density v2 :6.9008293983927848e-007
density ln. v2 :-20.791665590120097
dist. expected v3 :3.873923690648597
density v3 :0.00021984651510800597
cum. density train v3 :0.65747390412800466
cum. density test v3 :5.3568936726033911e-005
dist. expected v4 :3.8208562705124156
cum. density train v4 :0.73562861747706731
cum. density test v4 :6.651780821265163e-005
dist. expected v5 :3.8208562705124063
cum. density train v5 :0.73562861747706731
cum. density test v5 :6.651780821265163e-005
old
Show/Hide
confidence: 0.47183099389076233
confidence bounds at 95%: [ 0.43077641725540161 , 0.51288557052612305 ]
support: 0.080300085246562958
number of use :568
number of events to predict :3599
number of events predicted: 289
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :0.67521878722840345
density v1 :0.31762026704924851
cum. density train v1 :1
cum. density test v1 :0.24976831945432298
density v2 :6.9689085876690715
density ln. v2 :-2.1766005830536583
dist. expected v3 :0.57215400379657488
density v3 :0.33870741216599715
cum. density train v3 :1
cum. density test v3 :0.28360878577411974
dist. expected v4 :0.564430619765103
cum. density train v4 :1
cum. density test v4 :0.28623051893054496
dist. expected v5 :0.564430619765103
cum. density train v5 :1
cum. density test v5 :0.28623051893054496
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.9313471512799723
creation time: 4.367
#id:187
a
← r (temp) [ -18.500749999983238 -5.0074999998323619 ]
( 13 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 9 16 15 13 17 10 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.53926700353622437 confidence bounds at 95%: [ 0.49845334887504578 , 0.58008062839508057 ] support: 0.091187953948974609 number of use :573 number of events to predict :3586 number of events predicted: 327 dataset range :99988.185138863177
OLD: confidence: 0.47183099389076233 confidence bounds at 95%: [ 0.43077641725540161 , 0.51288557052612305 ] support: 0.080300085246562958 number of use :568 number of events to predict :3599 number of events predicted: 289 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="187" score="-9.9313471512799723" creationTime="4.367" confidence = "0.53926700353622437" support = "0.091187953948974609" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "327" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.53926700353622437" basesupport = "0.091187953948974609" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "327" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.493250000150876" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.47183099389076233" oldsupport = "0.080300085246562958" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "289" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.493250000150876" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
121
similarId:
123
base
Show/Hide
confidence: 0.55491328239440918
confidence bounds at 95%: [ 0.51215624809265137 , 0.59767031669616699 ]
support: 0.085889570415019989
number of use :519
number of events to predict :3586
number of events predicted: 308
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :5.6109848419806028
density v1 :5.8134067705382351e-008
cum. density train v1 :0.00020170004345065884
cum. density test v1 :1.0086019353039433e-008
density v2 :2.1033740823340273e-010
density ln. v2 :-29.670423293268883
dist. expected v3 :5.3683069196478623
density v3 :2.2029503408947362e-007
cum. density train v3 :0.00079623244550819372
cum. density test v3 :3.9827479536569399e-008
dist. expected v4 :5.3108929715207465
cum. density train v4 :0.0010925927822521553
cum. density test v4 :5.4659503367915363e-008
dist. expected v5 :5.3108929715207545
cum. density train v5 :0.0010925927822521553
cum. density test v5 :5.4659503367915363e-008
old
Show/Hide
confidence: 0.50094515085220337
confidence bounds at 95%: [ 0.45833653211593628 , 0.54355376958847046 ]
support: 0.077521532773971558
number of use :529
number of events to predict :3599
number of events predicted: 279
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :2.9256452682830281
density v1 :0.0055240795037311352
cum. density train v1 :0.99999999999999889
cum. density test v1 :0.0017187811287151522
density v2 :0.0021295382529786192
density ln. v2 :-12.592392633990318
dist. expected v3 :2.839413374712032
density v3 :0.0070828940586556664
cum. density train v3 :1
cum. density test v3 :0.0022598917476104319
dist. expected v4 :2.8080676241374753
cum. density train v4 :1
cum. density test v4 :0.00249204909702605
dist. expected v5 :2.8080676241374731
cum. density train v5 :1
cum. density test v5 :0.0024920490970261611
parentId:
101 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.9366638855939371
creation time: 4.2089999999999996
#id:121
a
← r (temp) [ -17.50124999997206 -4.0079999998211857 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
BASE: confidence: 0.55491328239440918 confidence bounds at 95%: [ 0.51215624809265137 , 0.59767031669616699 ] support: 0.085889570415019989 number of use :519 number of events to predict :3586 number of events predicted: 308 dataset range :99988.185138863177
OLD: confidence: 0.50094515085220337 confidence bounds at 95%: [ 0.45833653211593628 , 0.54355376958847046 ] support: 0.077521532773971558 number of use :529 number of events to predict :3599 number of events predicted: 279 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="121" score="-9.9366638855939371" creationTime="4.2089999999999996" confidence = "0.55491328239440918" support = "0.085889570415019989" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "308" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.55491328239440918" basesupport = "0.085889570415019989" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "308" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.493250000150875" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.50094515085220337" oldsupport = "0.077521532773971558" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "279" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.493250000150875" testexpConfidence = "-1" testexpSupport = "-1" parentId="101" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="123" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
113
similarId: *none*
base
Show/Hide
confidence: 0.57032757997512817
confidence bounds at 95%: [ 0.52773797512054443 , 0.61291718482971191 ]
support: 0.087005019187927246
number of use :519
number of events to predict :3586
number of events predicted: 312
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :6.35826773630526
density v1 :6.6401071039126359e-010
cum. density train v1 :2.0496428078109474e-006
cum. density test v1 :1.0248224491249402e-010
density v2 :4.2779866385342113e-014
density ln. v2 :-38.169048727578442
dist. expected v3 :6.069100647038697
density v3 :4.0041686133755434e-009
cum. density train v3 :1.2911064418918983e-005
cum. density test v3 :6.4555738532590112e-010
dist. expected v4 :6.0041917223175716
cum. density train v4 :1.9297634931692009e-005
cum. density test v4 :9.6489105594343982e-010
dist. expected v5 :6.0041917223175796
cum. density train v5 :1.9297634931692009e-005
cum. density test v5 :9.6489105594343982e-010
old
Show/Hide
confidence: 0.4933837354183197
confidence bounds at 95%: [ 0.4507787823677063 , 0.53598868846893311 ]
support: 0.080300085246562958
number of use :529
number of events to predict :3599
number of events predicted: 289
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :2.5751004839546323
density v1 :0.014486910166192465
cum. density train v1 :1
cum. density test v1 :0.0050105779266934602
density v2 :0.29460270484855117
density ln. v2 :-8.3817249971137873
dist. expected v3 :2.5148150153773812
density v3 :0.016889117253267583
cum. density train v3 :1
cum. density test v3 :0.0059547605039906859
dist. expected v4 :2.4870526737207479
cum. density train v4 :1
cum. density test v4 :0.0064403284097022118
dist. expected v5 :2.4870526737207461
cum. density train v5 :1
cum. density test v5 :0.0064403284097023228
parentId:
101 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.9394105909570776
creation time: 4.1879999999999997
#id:113
a
← r (temp) [ -19.500249999994409 -4.0079999998211857 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 0 12 17 12 0 0 14 13 13 0 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
BASE: confidence: 0.57032757997512817 confidence bounds at 95%: [ 0.52773797512054443 , 0.61291718482971191 ] support: 0.087005019187927246 number of use :519 number of events to predict :3586 number of events predicted: 312 dataset range :99988.185138863177
OLD: confidence: 0.4933837354183197 confidence bounds at 95%: [ 0.4507787823677063 , 0.53598868846893311 ] support: 0.080300085246562958 number of use :529 number of events to predict :3599 number of events predicted: 289 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="113" score="-9.9394105909570776" creationTime="4.1879999999999997" confidence = "0.57032757997512817" support = "0.087005019187927246" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "312" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.57032757997512817" basesupport = "0.087005019187927246" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "312" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.492250000173224" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4933837354183197" oldsupport = "0.080300085246562958" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "289" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.492250000173224" testexpConfidence = "-1" testexpSupport = "-1" parentId="101" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
633
similarId: *none*
base
Show/Hide
confidence: 0.56262040138244629
confidence bounds at 95%: [ 0.51994186639785767 , 0.60529893636703491 ]
support: 0.087562747299671173
number of use :519
number of events to predict :3586
number of events predicted: 314
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :7.3692054731711973
density v1 :6.4370671365818454e-013
cum. density train v1 :1.7297274723659939e-009
cum. density test v1 :8.6486373618299694e-014
density v2 :1.2059713608944175e-014
density ln. v2 :-38.932999127307212
dist. expected v3 :6.7242195505582005
density v3 :6.0613540012613457e-011
cum. density train v3 :1.7752464642750709e-007
cum. density test v3 :8.8762330818781265e-012
dist. expected v4 :6.6582831483736724
cum. density train v4 :2.7854159734275186e-007
cum. density test v4 :1.3927081710107814e-011
dist. expected v5 :6.6582831483736644
cum. density train v5 :2.7854159734275186e-007
cum. density test v5 :1.3927081710107814e-011
old
Show/Hide
confidence: 0.49905481934547424
confidence bounds at 95%: [ 0.45644620060920715 , 0.54166346788406372 ]
support: 0.079188667237758636
number of use :529
number of events to predict :3599
number of events predicted: 285
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :3.8720245271289464
density v1 :0.00022146953829837939
cum. density train v1 :0.6603335151265084
cum. density test v1 :5.3988096072155045e-005
density v2 :0.00049524451608871022
density ln. v2 :-15.028223884757029
dist. expected v3 :3.7552422340685339
density v3 :0.00034572715910875822
cum. density train v3 :0.82313242551518528
cum. density test v3 :8.6613948454217216e-005
dist. expected v4 :3.7172322092792962
cum. density train v4 :0.86666106332244697
cum. density test v4 :0.00010073797540655072
dist. expected v5 :3.7172322092792895
cum. density train v5 :0.86666106332244697
cum. density test v5 :0.00010073797540655072
parentId:
617 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -9.9549093485995179
creation time: 5.8070000000000004
#id:633
a
← r (temp) [ -19.500249999994409 -5.0074999998323619 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 0 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.56262040138244629 confidence bounds at 95%: [ 0.51994186639785767 , 0.60529893636703491 ] support: 0.087562747299671173 number of use :519 number of events to predict :3586 number of events predicted: 314 dataset range :99988.185138863177
OLD: confidence: 0.49905481934547424 confidence bounds at 95%: [ 0.45644620060920715 , 0.54166346788406372 ] support: 0.079188667237758636 number of use :529 number of events to predict :3599 number of events predicted: 285 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="633" score="-9.9549093485995179" creationTime="5.8070000000000004" confidence = "0.56262040138244629" support = "0.087562747299671173" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "314" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.56262040138244629" basesupport = "0.087562747299671173" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "314" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.492750000162047" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.49905481934547424" oldsupport = "0.079188667237758636" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "285" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.492750000162047" testexpConfidence = "-1" testexpSupport = "-1" parentId="617" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
636
similarId: *none*
base
Show/Hide
confidence: 0.55684006214141846
confidence bounds at 95%: [ 0.51410168409347534 , 0.59957844018936157 ]
support: 0.087562747299671173
number of use :519
number of events to predict :3586
number of events predicted: 314
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :7.1241552281701068
density v1 :3.8010932593823625e-012
cum. density train v1 :1.0544898287889737e-008
cum. density test v1 :5.2724491439448684e-013
density v2 :5.9982784319651131e-013
density ln. v2 :-34.898197828816379
dist. expected v3 :6.4625270036530464
density v3 :3.4034334498284153e-010
cum. density train v3 :1.0346496143176509e-006
cum. density test v3 :5.1732507166946107e-011
dist. expected v4 :6.3991567081953589
cum. density train v4 :1.5696187621871971e-006
cum. density test v4 :7.8480999476937541e-011
dist. expected v5 :6.3991567081953518
cum. density train v5 :1.5696187621871971e-006
cum. density test v5 :7.8480999476937541e-011
old
Show/Hide
confidence: 0.49905481934547424
confidence bounds at 95%: [ 0.45644620060920715 , 0.54166346788406372 ]
support: 0.080855794250965118
number of use :529
number of events to predict :3599
number of events predicted: 291
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :3.9530408419914518
density v1 :0.0001613064667114998
cum. density train v1 :0.53790856218478189
cum. density test v1 :3.8598879550821863e-005
density v2 :0.0020335288417747208
density ln. v2 :-13.590395926865465
dist. expected v3 :3.7664301966706653
density v3 :0.00033148210012552226
cum. density train v3 :0.80920939114610912
cum. density test v3 :8.282550682947587e-005
dist. expected v4 :3.7283069289241588
cum. density train v4 :0.85461513005432255
cum. density test v4 :9.641389075421003e-005
dist. expected v5 :3.7283069289241526
cum. density train v5 :0.85461513005432255
cum. density test v5 :9.641389075421003e-005
parentId:
617 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -9.9611264318033861
creation time: 5.8109999999999999
#id:636
a
← r (temp) [ -19.000499999988829 -5.0074999998323619 ]
( 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.55684006214141846 confidence bounds at 95%: [ 0.51410168409347534 , 0.59957844018936157 ] support: 0.087562747299671173 number of use :519 number of events to predict :3586 number of events predicted: 314 dataset range :99988.185138863177
OLD: confidence: 0.49905481934547424 confidence bounds at 95%: [ 0.45644620060920715 , 0.54166346788406372 ] support: 0.080855794250965118 number of use :529 number of events to predict :3599 number of events predicted: 291 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="636" score="-9.9611264318033861" creationTime="5.8109999999999999" confidence = "0.55684006214141846" support = "0.087562747299671173" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "314" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.55684006214141846" basesupport = "0.087562747299671173" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "314" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.993000000156467" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.49905481934547424" oldsupport = "0.080855794250965118" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "291" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.993000000156467" testexpConfidence = "-1" testexpSupport = "-1" parentId="617" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
145
similarId: *none*
base
Show/Hide
confidence: 0.55684006214141846
confidence bounds at 95%: [ 0.51410168409347534 , 0.59957844018936157 ]
support: 0.085331849753856659
number of use :519
number of events to predict :3586
number of events predicted: 306
dataset range :99988.185138863177
rule range :14.492750000162051
exp. confidence :0.40536594600772557
exp. support :0.07247145874086236
std. error exp. confidence :0.021550871653530642
std. error exp. support :0.0043295424295029259
dist. expected v1 :7.630561211354653
density v1 :9.0659040466728858e-014
cum. density train v1 :2.3536728122053319e-010
cum. density test v1 :1.1768364061026659e-014
density v2 :6.3828257871938038e-016
density ln. v2 :-41.852635643723744
dist. expected v3 :6.9690652988595385
density v3 :1.1337853706023127e-011
cum. density train v3 :3.210986998514187e-008
cum. density test v3 :1.6054935159104389e-012
dist. expected v4 :6.9037359005203474
cum. density train v4 :5.0963676723192464e-008
cum. density test v4 :2.5481838861196593e-012
dist. expected v5 :6.9037359005203278
cum. density train v5 :5.0963676723192464e-008
cum. density test v5 :2.5481838861196593e-012
old
Show/Hide
confidence: 0.48582231998443604
confidence bounds at 95%: [ 0.44323074817657471 , 0.52841389179229736 ]
support: 0.077243678271770477
number of use :529
number of events to predict :3599
number of events predicted: 278
dataset range :99936.387513848851
rule range :14.492750000162051
exp. confidence :0.40664590364355047
exp. support :0.073851797522660467
std. error exp. confidence :0.021356856882614576
std. error exp. support :0.0043594314795037245
dist. expected v1 :3.7880724566187127
density v1 :0.00030546205249057758
cum. density train v1 :0.78101780761799877
cum. density test v1 :7.5935360054346646e-005
density v2 :0.0022871760016277168
density ln. v2 :-13.52257071897839
dist. expected v3 :3.6517557102735254
density v3 :0.00050720341746370934
cum. density train v3 :0.92612472990335182
cum. density test v3 :0.00013026037273744517
dist. expected v4 :3.6164198378417396
cum. density train v4 :0.94961191854016214
cum. density test v4 :0.00014938887091331399
dist. expected v5 :3.6164198378417489
cum. density train v5 :0.94961191854005267
cum. density test v5 :0.00014938887091320296
parentId:
134 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -9.9721956342264804
creation time: 4.2729999999999997
#id:145
a
← r (temp) [ -19.500249999994409 -5.5072499998379492 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 0 16 14 13 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 32 25 23 35 34 32 31 30 30 )
BASE: confidence: 0.55684006214141846 confidence bounds at 95%: [ 0.51410168409347534 , 0.59957844018936157 ] support: 0.085331849753856659 number of use :519 number of events to predict :3586 number of events predicted: 306 dataset range :99988.185138863177
OLD: confidence: 0.48582231998443604 confidence bounds at 95%: [ 0.44323074817657471 , 0.52841389179229736 ] support: 0.077243678271770477 number of use :529 number of events to predict :3599 number of events predicted: 278 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="145" score="-9.9721956342264804" creationTime="4.2729999999999997" confidence = "0.55684006214141846" support = "0.085331849753856659" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "306" datasetrange = "99988.185138863177" rulerange = "14.492750000162051" expConfidence = "0.40536594600772557" expSupport = "0.07247145874086236" baseconfidence = "0.55684006214141846" basesupport = "0.085331849753856659" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "306" basedatasetrange = "99988.185138863177" baserulerange = "14.492750000162051" baseexpConfidence = "0.40536594600772557" baseexpSupport = "0.07247145874086236" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.99300000015646" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.48582231998443604" oldsupport = "0.077243678271770477" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "278" olddatasetrange = "99936.387513848851" oldrulerange = "14.492750000162051" oldexpConfidence = "0.40664590364355047" oldexpSupport = "0.073851797522660467" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.99300000015646" testexpConfidence = "-1" testexpSupport = "-1" parentId="134" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
604
similarId:
606
base
Show/Hide
confidence: 0.55491328239440918
confidence bounds at 95%: [ 0.51215624809265137 , 0.59767031669616699 ]
support: 0.085889570415019989
number of use :519
number of events to predict :3586
number of events predicted: 308
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :5.6109848419806028
density v1 :5.8134067705382351e-008
cum. density train v1 :0.00020170004345065884
cum. density test v1 :1.0086019353039433e-008
density v2 :2.1033740823340273e-010
density ln. v2 :-29.670423293268883
dist. expected v3 :5.3683069196478623
density v3 :2.2029503408947362e-007
cum. density train v3 :0.00079623244550819372
cum. density test v3 :3.9827479536569399e-008
dist. expected v4 :5.3108929715207465
cum. density train v4 :0.0010925927822521553
cum. density test v4 :5.4659503367915363e-008
dist. expected v5 :5.3108929715207545
cum. density train v5 :0.0010925927822521553
cum. density test v5 :5.4659503367915363e-008
old
Show/Hide
confidence: 0.50094515085220337
confidence bounds at 95%: [ 0.45833653211593628 , 0.54355376958847046 ]
support: 0.077521532773971558
number of use :529
number of events to predict :3599
number of events predicted: 279
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :2.9256452682830281
density v1 :0.0055240795037311352
cum. density train v1 :0.99999999999999889
cum. density test v1 :0.0017187811287151522
density v2 :0.0021295382529786192
density ln. v2 :-12.592392633990318
dist. expected v3 :2.839413374712032
density v3 :0.0070828940586556664
cum. density train v3 :1
cum. density test v3 :0.0022598917476104319
dist. expected v4 :2.8080676241374753
cum. density train v4 :1
cum. density test v4 :0.00249204909702605
dist. expected v5 :2.8080676241374731
cum. density train v5 :1
cum. density test v5 :0.0024920490970261611
parentId:
584 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -9.9772103981976965
creation time: 5.7130000000000001
#id:604
a
← r (temp) [ -17.50124999997206 -4.0079999998211857 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.55491328239440918 confidence bounds at 95%: [ 0.51215624809265137 , 0.59767031669616699 ] support: 0.085889570415019989 number of use :519 number of events to predict :3586 number of events predicted: 308 dataset range :99988.185138863177
OLD: confidence: 0.50094515085220337 confidence bounds at 95%: [ 0.45833653211593628 , 0.54355376958847046 ] support: 0.077521532773971558 number of use :529 number of events to predict :3599 number of events predicted: 279 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="604" score="-9.9772103981976965" creationTime="5.7130000000000001" confidence = "0.55491328239440918" support = "0.085889570415019989" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "308" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.55491328239440918" basesupport = "0.085889570415019989" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "308" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.493250000150875" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.50094515085220337" oldsupport = "0.077521532773971558" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "279" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.493250000150875" testexpConfidence = "-1" testexpSupport = "-1" parentId="584" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
596
similarId: *none*
base
Show/Hide
confidence: 0.57032757997512817
confidence bounds at 95%: [ 0.52773797512054443 , 0.61291718482971191 ]
support: 0.087005019187927246
number of use :519
number of events to predict :3586
number of events predicted: 312
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :6.35826773630526
density v1 :6.6401071039126359e-010
cum. density train v1 :2.0496428078109474e-006
cum. density test v1 :1.0248224491249402e-010
density v2 :4.2779866385342113e-014
density ln. v2 :-38.169048727578442
dist. expected v3 :6.069100647038697
density v3 :4.0041686133755434e-009
cum. density train v3 :1.2911064418918983e-005
cum. density test v3 :6.4555738532590112e-010
dist. expected v4 :6.0041917223175716
cum. density train v4 :1.9297634931692009e-005
cum. density test v4 :9.6489105594343982e-010
dist. expected v5 :6.0041917223175796
cum. density train v5 :1.9297634931692009e-005
cum. density test v5 :9.6489105594343982e-010
old
Show/Hide
confidence: 0.4933837354183197
confidence bounds at 95%: [ 0.4507787823677063 , 0.53598868846893311 ]
support: 0.080300085246562958
number of use :529
number of events to predict :3599
number of events predicted: 289
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :2.5751004839546323
density v1 :0.014486910166192465
cum. density train v1 :1
cum. density test v1 :0.0050105779266934602
density v2 :0.29460270484855117
density ln. v2 :-8.3817249971137873
dist. expected v3 :2.5148150153773812
density v3 :0.016889117253267583
cum. density train v3 :1
cum. density test v3 :0.0059547605039906859
dist. expected v4 :2.4870526737207479
cum. density train v4 :1
cum. density test v4 :0.0064403284097022118
dist. expected v5 :2.4870526737207461
cum. density train v5 :1
cum. density test v5 :0.0064403284097023228
parentId:
584 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -9.979957103560837
creation time: 5.7009999999999996
#id:596
a
← r (temp) [ -19.500249999994409 -4.0079999998211857 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 0 12 17 12 0 0 14 13 13 0 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.57032757997512817 confidence bounds at 95%: [ 0.52773797512054443 , 0.61291718482971191 ] support: 0.087005019187927246 number of use :519 number of events to predict :3586 number of events predicted: 312 dataset range :99988.185138863177
OLD: confidence: 0.4933837354183197 confidence bounds at 95%: [ 0.4507787823677063 , 0.53598868846893311 ] support: 0.080300085246562958 number of use :529 number of events to predict :3599 number of events predicted: 289 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="596" score="-9.979957103560837" creationTime="5.7009999999999996" confidence = "0.57032757997512817" support = "0.087005019187927246" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "312" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.57032757997512817" basesupport = "0.087005019187927246" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "312" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.492250000173224" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4933837354183197" oldsupport = "0.080300085246562958" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "289" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.492250000173224" testexpConfidence = "-1" testexpSupport = "-1" parentId="584" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
280
similarId:
285 ,
286 ,
289
base
Show/Hide
confidence: 0.5529865026473999
confidence bounds at 95%: [ 0.5102115273475647 , 0.59576147794723511 ]
support: 0.086168430745601654
number of use :519
number of events to predict :3586
number of events predicted: 309
dataset range :99988.185138863177
rule range :13.99300000015646
exp. confidence :0.39461060017506044
exp. support :0.070061974395799642
std. error exp. confidence :0.021454485336386147
std. error exp. support :0.0042624867953882789
dist. expected v1 :8.2928508961939968
density v1 :4.6493850402608435e-016
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.1781277427517648e-016
density ln. v2 :-41.268675880499778
dist. expected v3 :7.3369169751150753
density v3 :8.1620252113831008e-013
cum. density train v3 :2.2026824808563106e-009
cum. density test v3 :1.1013412404281553e-013
dist. expected v4 :7.2712438974741591
cum. density train v4 :3.5882408155885059e-009
cum. density test v4 :1.794120407794253e-013
dist. expected v5 :7.2712438974741644
cum. density train v5 :3.5882408155885059e-009
cum. density test v5 :1.794120407794253e-013
old
Show/Hide
confidence: 0.51228731870651245
confidence bounds at 95%: [ 0.46969148516654968 , 0.55488312244415283 ]
support: 0.08224506676197052
number of use :529
number of events to predict :3599
number of events predicted: 296
dataset range :99936.387513848851
rule range :13.99300000015646
exp. confidence :0.39586881724568057
exp. support :0.071398208288108167
std. error exp. confidence :0.021262456452656377
std. error exp. support :0.004292076875711516
dist. expected v1 :6.0303936243516576
density v1 :5.0606942195651731e-009
cum. density train v1 :1.6415769534705582e-005
cum. density test v1 :8.2079520957734076e-010
density v2 :8.8726140590813754e-008
density ln. v2 :-22.855239317247211
dist. expected v3 :5.4329150929226673
density v3 :1.5540647446479547e-007
cum. density train v3 :0.00055554777144450895
cum. density test v3 :2.7785106881950128e-008
dist. expected v4 :5.3827167231756441
cum. density train v4 :0.00073507154343432912
cum. density test v4 :3.676709137145906e-008
dist. expected v5 :5.3827167231756299
cum. density train v5 :0.00073507154343432912
cum. density test v5 :3.676709137145906e-008
parentId:
7 [Interactive]
creation: Add condition [ gain:0.0051152358154455957 impList:1 first:1 loop:7 ]
number of condition: 2
score: -9.9804616063639315
creation time: 4.6289999999999996
#id:280
a
← r (temp) [ -20 -6.0069999998435382 ]
( 14 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 31 24 22 34 31 32 29 29 30 )
BASE: confidence: 0.5529865026473999 confidence bounds at 95%: [ 0.5102115273475647 , 0.59576147794723511 ] support: 0.086168430745601654 number of use :519 number of events to predict :3586 number of events predicted: 309 dataset range :99988.185138863177
OLD: confidence: 0.51228731870651245 confidence bounds at 95%: [ 0.46969148516654968 , 0.55488312244415283 ] support: 0.08224506676197052 number of use :529 number of events to predict :3599 number of events predicted: 296 dataset range :99936.387513848851
Add condition [ gain:0.0051152358154455957 impList:1 first:1 loop:7 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="280" score="-9.9804616063639315" creationTime="4.6289999999999996" confidence = "0.5529865026473999" support = "0.086168430745601654" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "309" datasetrange = "99988.185138863177" rulerange = "13.99300000015646" expConfidence = "0.39461060017506044" expSupport = "0.070061974395799642" baseconfidence = "0.5529865026473999" basesupport = "0.086168430745601654" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "309" basedatasetrange = "99988.185138863177" baserulerange = "13.99300000015646" baseexpConfidence = "0.39461060017506044" baseexpSupport = "0.070061974395799642" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.993000000156462" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.51228731870651245" oldsupport = "0.08224506676197052" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "296" olddatasetrange = "99936.387513848851" oldrulerange = "13.99300000015646" oldexpConfidence = "0.39586881724568057" oldexpSupport = "0.071398208288108167" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.993000000156462" testexpConfidence = "-1" testexpSupport = "-1" parentId="7" entropyGain="0.0051152358154455957" type="2" split="-1" gaussian="-1" impList="1" firstElement="1" loop="7" threathold="-1" >
<similarId>
<i v="285" />
<i v="286" />
<i v="289" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="14"/><i v="10"/><i v="12"/><i v="13"/><i v="20"/><i v="8"/><i v="16"/><i v="18"/><i v="9"/><i v="16"/><i v="16"/><i v="16"/><i v="10"/><i v="21"/><i v="13"/><i v="9"/><i v="17"/><i v="9"/><i v="9"/><i v="18"/><i v="17"/><i v="12"/><i v="17"/><i v="12"/><i v="9"/><i v="16"/><i v="14"/><i v="13"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="33"/><i v="31"/><i v="24"/><i v="22"/><i v="34"/><i v="31"/><i v="32"/><i v="29"/><i v="29"/><i v="30"/></values>
<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
512
similarId: *none*
base
Show/Hide
confidence: 0.44956773519515991
confidence bounds at 95%: [ 0.41934871673583984 , 0.47978675365447998 ]
support: 0.12409369647502899
number of use :1041
number of events to predict :3586
number of events predicted: 445
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :2.6932225175676252e-007
density ln. v2 :21.570634564113398
dist. expected v3 :-4.8065587400635215
density v3 :3.8384497107332464e-006
cum. density train v3 :1
cum. density test v3 :0.99999923124968304
dist. expected v4 :-4.6127613858345553
cum. density train v4 :1
cum. density test v4 :0.99999801113925169
dist. expected v5 :-4.6127613858345802
cum. density train v5 :1
cum. density test v5 :0.99999801113925169
old
Show/Hide
confidence: 0.44881889224052429
confidence bounds at 95%: [ 0.41823506355285645 , 0.47940272092819214 ]
support: 0.11975548416376114
number of use :1016
number of events to predict :3599
number of events predicted: 431
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.3904754914510838e-007
density ln. v2 :22.281831815053099
dist. expected v3 :-4.8745639153983555
density v3 :2.7618074597385192e-006
cum. density train v3 :1
cum. density test v3 :0.99999945399369139
dist. expected v4 :-4.6834505422744668
cum. density train v4 :1
cum. density test v4 :0.99999858796655916
dist. expected v5 :-4.683450542274441
cum. density train v5 :1
cum. density test v5 :0.99999858796655916
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.005075615258795
creation time: 5.3739999999999997
#id:512
a
← r (temp) [ -20 -7.0064999998547144 ]
( 22 17 21 18 26 16 23 31 23 21 22 29 21 29 25 23 28 13 17 30 29 23 33 17 19 31 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.44956773519515991 confidence bounds at 95%: [ 0.41934871673583984 , 0.47978675365447998 ] support: 0.12409369647502899 number of use :1041 number of events to predict :3586 number of events predicted: 445 dataset range :99988.185138863177
OLD: confidence: 0.44881889224052429 confidence bounds at 95%: [ 0.41823506355285645 , 0.47940272092819214 ] support: 0.11975548416376114 number of use :1016 number of events to predict :3599 number of events predicted: 431 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="512" score="-10.005075615258795" creationTime="5.3739999999999997" confidence = "0.44956773519515991" support = "0.12409369647502899" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "445" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.44956773519515991" basesupport = "0.12409369647502899" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "445" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.993500000145286" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.44881889224052429" oldsupport = "0.11975548416376114" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "431" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.993500000145286" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
86
similarId: *none*
base
Show/Hide
confidence: 0.69950741529464722
confidence bounds at 95%: [ 0.63643765449523926 , 0.76257717609405518 ]
support: 0.054099276661872864
number of use :203
number of events to predict :3586
number of events predicted: 194
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.039775869445696443
std. error exp. confidence :0.035083372367853513
std. error exp. support :0.0032635555244750571
dist. expected v1 :6.9204910886644182
density v1 :1.5886729348897847e-011
cum. density train v1 :4.5288216732330966e-008
cum. density test v1 :2.2644108810254693e-012
density v2 :1.3662165644981541e-006
density ln. v2 :-19.181106529640239
dist. expected v3 :5.3567198270371259
density v3 :2.344174853339752e-007
cum. density train v3 :0.00084895872580392773
cum. density test v3 :4.2465963856486155e-008
dist. expected v4 :5.3422319360366233
cum. density train v4 :0.00091965307848473898
cum. density test v4 :4.6003809872630086e-008
dist. expected v5 :5.3422319360366259
cum. density train v5 :0.00091965307848473898
cum. density test v5 :4.6003809872630086e-008
old
Show/Hide
confidence: 0.69194310903549194
confidence bounds at 95%: [ 0.62964636087417603 , 0.75423985719680786 ]
support: 0.058905251324176788
number of use :211
number of events to predict :3599
number of events predicted: 212
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.041331532025280615
std. error exp. confidence :0.034409361896585826
std. error exp. support :0.0033180585855830573
dist. expected v1 :7.4179264653107015
density v1 :4.4899930476233814e-013
cum. density train v1 :1.1990408665951691e-009
cum. density test v1 :5.9952043329758453e-014
density v2 :0.00012234419657720331
density ln. v2 :-12.205908326318761
dist. expected v3 :5.2056926094127753
density v3 :5.2045817629878477e-007
cum. density train v3 :0.0019345770051736322
cum. density test v3 :9.6822531103768483e-008
dist. expected v4 :5.1905549072480213
cum. density train v4 :0.0020984449689774864
cum. density test v4 :1.0503248393245457e-007
dist. expected v5 :5.1905549072480177
cum. density train v5 :0.0020984449689774864
cum. density test v5 :1.0503248393245457e-007
parentId:
63 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.006347584836091
creation time: 4.133
#id:86
a
← j (temp) [ -17.00149999996647 -2.5087499998044218 ]
( 4 6 4 8 2 14 3 7 8 5 6 6 8 7 6 12 8 9 8 4 8 10 2 4 8 12 7 13 9 )
← r (temp) [ -3.992000000178813 -0.49025000021793019 ]
( 19 34 19 26 24 40 32 )
BASE: confidence: 0.69950741529464722 confidence bounds at 95%: [ 0.63643765449523926 , 0.76257717609405518 ] support: 0.054099276661872864 number of use :203 number of events to predict :3586 number of events predicted: 194 dataset range :99988.185138863177
OLD: confidence: 0.69194310903549194 confidence bounds at 95%: [ 0.62964636087417603 , 0.75423985719680786 ] support: 0.058905251324176788 number of use :211 number of events to predict :3599 number of events predicted: 212 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="86" score="-10.006347584836091" creationTime="4.133" confidence = "0.69950741529464722" support = "0.054099276661872864" number_of_use = "203" number_of_events_to_predict = "3586" number_of_events_predicted = "194" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.039775869445696443" baseconfidence = "0.69950741529464722" basesupport = "0.054099276661872864" basenumber_of_use = "203" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "194" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.039775869445696443" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.492750000162047" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.69194310903549194" oldsupport = "0.058905251324176788" oldnumber_of_use = "211" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "212" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.041331532025280615" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.492750000162047" testexpConfidence = "-1" testexpSupport = "-1" parentId="63" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
263
similarId:
266
base
Show/Hide
confidence: 0.54527938365936279
confidence bounds at 95%: [ 0.50243890285491943 , 0.58811986446380615 ]
support: 0.085610710084438324
number of use :519
number of events to predict :3586
number of events predicted: 307
dataset range :99988.185138863177
rule range :15.492250000173231
exp. confidence :0.42630694830917171
exp. support :0.07727175046923429
std. error exp. confidence :0.021707875475812845
std. error exp. support :0.0044590479354880358
dist. expected v1 :5.7908943208506987
density v1 :2.0844680548206562e-008
cum. density train v1 :7.0226315048715904e-005
cum. density test v1 :3.5114390284363139e-009
density v2 :2.0873575879110599e-009
density ln. v2 :-27.264418494849899
dist. expected v3 :5.4226230156223219
density v3 :1.6433501506168094e-007
cum. density train v3 :0.00058849381322134686
cum. density test v3 :2.9433351755869808e-008
dist. expected v4 :5.3670627136235334
cum. density train v4 :0.0008017385307111935
cum. density test v4 :4.0103003917657531e-008
dist. expected v5 :5.3670627136235494
cum. density train v5 :0.0008017385307111935
cum. density test v5 :4.0103003917657531e-008
old
Show/Hide
confidence: 0.48204159736633301
confidence bounds at 95%: [ 0.4394603967666626 , 0.52462279796600342 ]
support: 0.075854405760765076
number of use :529
number of events to predict :3599
number of events predicted: 273
dataset range :99936.387513848851
rule range :15.492250000173231
exp. confidence :0.42762690379987212
exp. support :0.078739580774717099
std. error exp. confidence :0.021510191673586216
std. error exp. support :0.004489488176044055
dist. expected v1 :2.5297168148101759
density v1 :0.016266099620872432
cum. density train v1 :1
cum. density test v1 :0.0057077518034136521
density v2 :0.091240864546373965
density ln. v2 :-9.1922312336781733
dist. expected v3 :2.4569206300831792
density v3 :0.019503369675513159
cum. density train v3 :1
cum. density test v3 :0.0070066878643009201
dist. expected v4 :2.4309358040312579
cum. density train v4 :1
cum. density test v4 :0.0075299413718699082
dist. expected v5 :2.4309358040312579
cum. density train v5 :1
cum. density test v5 :0.0075299413718699082
parentId:
241 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.013221998692082
creation time: 4.5810000000000004
#id:263
a
← r (temp) [ -18.000999999977651 -4.5077499998267747 ]
( 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 15 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 35 33 25 24 36 34 33 31 31 30 )
BASE: confidence: 0.54527938365936279 confidence bounds at 95%: [ 0.50243890285491943 , 0.58811986446380615 ] support: 0.085610710084438324 number of use :519 number of events to predict :3586 number of events predicted: 307 dataset range :99988.185138863177
OLD: confidence: 0.48204159736633301 confidence bounds at 95%: [ 0.4394603967666626 , 0.52462279796600342 ] support: 0.075854405760765076 number of use :529 number of events to predict :3599 number of events predicted: 273 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="263" score="-10.013221998692082" creationTime="4.5810000000000004" confidence = "0.54527938365936279" support = "0.085610710084438324" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "307" datasetrange = "99988.185138863177" rulerange = "15.492250000173231" expConfidence = "0.42630694830917171" expSupport = "0.07727175046923429" baseconfidence = "0.54527938365936279" basesupport = "0.085610710084438324" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "307" basedatasetrange = "99988.185138863177" baserulerange = "15.492250000173231" baseexpConfidence = "0.42630694830917171" baseexpSupport = "0.07727175046923429" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.493250000150876" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.48204159736633301" oldsupport = "0.075854405760765076" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "273" olddatasetrange = "99936.387513848851" oldrulerange = "15.492250000173231" oldexpConfidence = "0.42762690379987212" oldexpSupport = "0.078739580774717099" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.493250000150876" testexpConfidence = "-1" testexpSupport = "-1" parentId="241" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
223
similarId:
225
base
Show/Hide
confidence: 0.54720616340637207
confidence bounds at 95%: [ 0.50438106060028076 , 0.59003126621246338 ]
support: 0.084774121642112732
number of use :519
number of events to predict :3586
number of events predicted: 304
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :6.4722984396572505
density v1 :3.1950056325070389e-010
cum. density train v1 :9.6991257536593878e-007
cum. density test v1 :4.8495651938651463e-011
density v2 :9.6647418698474646e-012
density ln. v2 :-32.536508597530492
dist. expected v3 :6.008100791142482
density v3 :5.7874382249362503e-009
cum. density train v3 :1.8838355517525329e-005
cum. density test v3 :9.4192664779058077e-010
dist. expected v4 :5.9491865116262712
cum. density train v4 :2.7040670642519693e-005
cum. density test v4 :1.3520518038490081e-009
dist. expected v5 :5.9491865116262641
cum. density train v5 :2.7040670642519693e-005
cum. density test v5 :1.3520518038490081e-009
old
Show/Hide
confidence: 0.48771265149116516
confidence bounds at 95%: [ 0.44511681795120239 , 0.53030848503112793 ]
support: 0.078077241778373718
number of use :529
number of events to predict :3599
number of events predicted: 281
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :3.3119929284396825
density v1 :0.0016556077579408925
cum. density train v1 :0.999905478946301
cum. density test v1 :0.00046322707508461569
density v2 :0.015615555773390074
density ln. v2 :-11.558510149002032
dist. expected v3 :3.2299328488639509
density v3 :0.0021653535305763564
cum. density train v3 :0.99999582759076666
cum. density test v3 :0.0006191590886140963
dist. expected v4 :3.1972399305379131
cum. density train v4 :0.99999906343660627
cum. density test v4 :0.00069381163258408485
dist. expected v5 :3.1972399305379073
cum. density train v5 :0.99999906343660627
cum. density test v5 :0.00069381163258408485
parentId:
201 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.018752356052921
creation time: 4.4749999999999996
#id:223
a
← r (temp) [ -18.500749999983238 -5.0074999998323619 ]
( 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.54720616340637207 confidence bounds at 95%: [ 0.50438106060028076 , 0.59003126621246338 ] support: 0.084774121642112732 number of use :519 number of events to predict :3586 number of events predicted: 304 dataset range :99988.185138863177
OLD: confidence: 0.48771265149116516 confidence bounds at 95%: [ 0.44511681795120239 , 0.53030848503112793 ] support: 0.078077241778373718 number of use :529 number of events to predict :3599 number of events predicted: 281 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="223" score="-10.018752356052921" creationTime="4.4749999999999996" confidence = "0.54720616340637207" support = "0.084774121642112732" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "304" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.54720616340637207" basesupport = "0.084774121642112732" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "304" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.493250000150876" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.48771265149116516" oldsupport = "0.078077241778373718" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "281" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.493250000150876" testexpConfidence = "-1" testexpSupport = "-1" parentId="201" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
257
similarId: *none*
base
Show/Hide
confidence: 0.55491328239440918
confidence bounds at 95%: [ 0.51215624809265137 , 0.59767031669616699 ]
support: 0.086726158857345581
number of use :519
number of events to predict :3586
number of events predicted: 311
dataset range :99988.185138863177
rule range :15.492250000173231
exp. confidence :0.42630694830917171
exp. support :0.07727175046923429
std. error exp. confidence :0.021707875475812845
std. error exp. support :0.0044590479354880358
dist. expected v1 :6.2923913781326171
density v1 :1.0072588949165332e-009
cum. density train v1 :3.139688030451282e-006
cum. density test v1 :1.5698464750357743e-010
density v2 :2.4756475008349071e-011
density ln. v2 :-31.658354433296431
dist. expected v3 :5.8645993589962346
density v3 :1.3565970432234258e-008
cum. density train v3 :4.5167471194984543e-005
cum. density test v3 :2.2584245584766904e-009
dist. expected v4 :5.8045105586962684
cum. density train v4 :6.4753504570358444e-005
cum. density test v4 :3.2377800440741566e-009
dist. expected v5 :5.8045105586962853
cum. density train v5 :6.4753504570358444e-005
cum. density test v5 :3.2377800440741566e-009
old
Show/Hide
confidence: 0.48960301280021667
confidence bounds at 95%: [ 0.44700354337692261 , 0.53220248222351074 ]
support: 0.079466521739959717
number of use :529
number of events to predict :3599
number of events predicted: 286
dataset range :99936.387513848851
rule range :15.492250000173231
exp. confidence :0.42762690379987212
exp. support :0.078739580774717099
std. error exp. confidence :0.021510191673586216
std. error exp. support :0.004489488176044055
dist. expected v1 :2.8857901583986978
density v1 :0.0062023256504127643
cum. density train v1 :1
cum. density test v1 :0.0019522281603772118
density v2 :0.12543171737946335
density ln. v2 :-9.4094372362747141
dist. expected v3 :2.8251743544304966
density v3 :0.0073743788821635401
cum. density train v3 :1
cum. density test v3 :0.0023628072035744019
dist. expected v4 :2.7952948120198244
cum. density train v4 :1
cum. density test v4 :0.0025926802969613583
dist. expected v5 :2.7952948120198244
cum. density train v5 :1
cum. density test v5 :0.0025926802969613583
parentId:
241 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.022638109747856
creation time: 4.569
#id:257
a
← r (temp) [ -19.500249999994409 -4.5077499998267747 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 0 12 17 12 0 16 14 13 13 9 15 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 35 33 25 24 36 34 33 31 31 30 )
BASE: confidence: 0.55491328239440918 confidence bounds at 95%: [ 0.51215624809265137 , 0.59767031669616699 ] support: 0.086726158857345581 number of use :519 number of events to predict :3586 number of events predicted: 311 dataset range :99988.185138863177
OLD: confidence: 0.48960301280021667 confidence bounds at 95%: [ 0.44700354337692261 , 0.53220248222351074 ] support: 0.079466521739959717 number of use :529 number of events to predict :3599 number of events predicted: 286 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="257" score="-10.022638109747856" creationTime="4.569" confidence = "0.55491328239440918" support = "0.086726158857345581" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "311" datasetrange = "99988.185138863177" rulerange = "15.492250000173231" expConfidence = "0.42630694830917171" expSupport = "0.07727175046923429" baseconfidence = "0.55491328239440918" basesupport = "0.086726158857345581" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "311" basedatasetrange = "99988.185138863177" baserulerange = "15.492250000173231" baseexpConfidence = "0.42630694830917171" baseexpSupport = "0.07727175046923429" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.992500000167635" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.48960301280021667" oldsupport = "0.079466521739959717" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "286" olddatasetrange = "99936.387513848851" oldrulerange = "15.492250000173231" oldexpConfidence = "0.42762690379987212" oldexpSupport = "0.078739580774717099" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.992500000167635" testexpConfidence = "-1" testexpSupport = "-1" parentId="241" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
322
similarId: *none*
base
Show/Hide
confidence: 0.68303573131561279
confidence bounds at 95%: [ 0.62210184335708618 , 0.7439696192741394 ]
support: 0.064138315618038177
number of use :224
number of events to predict :3586
number of events predicted: 230
dataset range :99988.185138863177
rule range :18.990500000212339
exp. confidence :0.49396249136343995
exp. support :0.041655332094502451
std. error exp. confidence :0.033405219631274331
std. error exp. support :0.0033364991873627804
dist. expected v1 :8.8001598779878414
density v1 :6.0871877996471803e-018
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.8701204649770112e-005
density ln. v2 :-8.6805049209412175
dist. expected v3 :5.67987009060663
density v3 :3.940391515005623e-008
cum. density train v3 :0.00013517092697734601
cum. density test v3 :6.7590031349595847e-009
dist. expected v4 :5.6627648505276067
cum. density train v4 :0.00014935976260521677
cum. density test v4 :7.468545892841405e-009
dist. expected v5 :5.6627648505276031
cum. density train v5 :0.00014935976260521677
cum. density test v5 :7.468545892841405e-009
old
Show/Hide
confidence: 0.69037657976150513
confidence bounds at 95%: [ 0.63176047801971436 , 0.7489926815032959 ]
support: 0.066963046789169312
number of use :239
number of events to predict :3599
number of events predicted: 241
dataset range :99936.387513848851
rule range :18.990500000212339
exp. confidence :0.4953893467247662
exp. support :0.044404431591103521
std. error exp. confidence :0.032340936264718109
std. error exp. support :0.0034336758800083281
dist. expected v1 :8.9169893916069771
density v1 :2.1624530220328131e-018
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.264948956273686e-006
density ln. v2 :-13.940252156107148
dist. expected v3 :6.0487614252749617
density v3 :4.5293113759228101e-009
cum. density train v3 :1.465031143665918e-005
cum. density test v3 :7.3252093280018471e-010
dist. expected v4 :6.0282033571807307
cum. density train v4 :1.6639648973471033e-005
cum. density test v4 :8.3198936629003128e-010
dist. expected v5 :6.0282033571807334
cum. density train v5 :1.6639648973471033e-005
cum. density test v5 :8.3198936629003128e-010
parentId:
311 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.031512620844314
creation time: 4.7409999999999997
#id:322
a
← j (temp) [ -20 -1.009499999787657 ]
( 8 11 8 13 9 5 5 6 5 8 2 14 4 7 9 5 6 8 10 7 0 0 0 0 0 0 0 0 0 0 0 13 7 15 11 12 15 18 )
← r (temp) [ -3.992000000178813 0.0099999997764825821 ]
( 15 29 14 23 17 30 26 22 )
BASE: confidence: 0.68303573131561279 confidence bounds at 95%: [ 0.62210184335708618 , 0.7439696192741394 ] support: 0.064138315618038177 number of use :224 number of events to predict :3586 number of events predicted: 230 dataset range :99988.185138863177
OLD: confidence: 0.69037657976150513 confidence bounds at 95%: [ 0.63176047801971436 , 0.7489926815032959 ] support: 0.066963046789169312 number of use :239 number of events to predict :3599 number of events predicted: 241 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="322" score="-10.031512620844314" creationTime="4.7409999999999997" confidence = "0.68303573131561279" support = "0.064138315618038177" number_of_use = "224" number_of_events_to_predict = "3586" number_of_events_predicted = "230" datasetrange = "99988.185138863177" rulerange = "18.990500000212339" expConfidence = "0.49396249136343995" expSupport = "0.041655332094502451" baseconfidence = "0.68303573131561279" basesupport = "0.064138315618038177" basenumber_of_use = "224" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "230" basedatasetrange = "99988.185138863177" baserulerange = "18.990500000212339" baseexpConfidence = "0.49396249136343995" baseexpSupport = "0.041655332094502451" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.990500000212343" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.69037657976150513" oldsupport = "0.066963046789169312" oldnumber_of_use = "239" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "241" olddatasetrange = "99936.387513848851" oldrulerange = "18.990500000212339" oldexpConfidence = "0.4953893467247662" oldexpSupport = "0.044404431591103521" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.990500000212343" testexpConfidence = "-1" testexpSupport = "-1" parentId="311" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
639
similarId:
641
base
Show/Hide
confidence: 0.54720616340637207
confidence bounds at 95%: [ 0.50438106060028076 , 0.59003126621246338 ]
support: 0.084774121642112732
number of use :519
number of events to predict :3586
number of events predicted: 304
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :6.4722984396572505
density v1 :3.1950056325070389e-010
cum. density train v1 :9.6991257536593878e-007
cum. density test v1 :4.8495651938651463e-011
density v2 :9.6647418698474646e-012
density ln. v2 :-32.536508597530492
dist. expected v3 :6.008100791142482
density v3 :5.7874382249362503e-009
cum. density train v3 :1.8838355517525329e-005
cum. density test v3 :9.4192664779058077e-010
dist. expected v4 :5.9491865116262712
cum. density train v4 :2.7040670642519693e-005
cum. density test v4 :1.3520518038490081e-009
dist. expected v5 :5.9491865116262641
cum. density train v5 :2.7040670642519693e-005
cum. density test v5 :1.3520518038490081e-009
old
Show/Hide
confidence: 0.48771265149116516
confidence bounds at 95%: [ 0.44511681795120239 , 0.53030848503112793 ]
support: 0.078077241778373718
number of use :529
number of events to predict :3599
number of events predicted: 281
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :3.3119929284396825
density v1 :0.0016556077579408925
cum. density train v1 :0.999905478946301
cum. density test v1 :0.00046322707508461569
density v2 :0.015615555773390074
density ln. v2 :-11.558510149002032
dist. expected v3 :3.2299328488639509
density v3 :0.0021653535305763564
cum. density train v3 :0.99999582759076666
cum. density test v3 :0.0006191590886140963
dist. expected v4 :3.1972399305379131
cum. density train v4 :0.99999906343660627
cum. density test v4 :0.00069381163258408485
dist. expected v5 :3.1972399305379073
cum. density train v5 :0.99999906343660627
cum. density test v5 :0.00069381163258408485
parentId:
617 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.059298868656681
creation time: 5.819
#id:639
a
← r (temp) [ -18.500749999983238 -5.0074999998323619 ]
( 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.54720616340637207 confidence bounds at 95%: [ 0.50438106060028076 , 0.59003126621246338 ] support: 0.084774121642112732 number of use :519 number of events to predict :3586 number of events predicted: 304 dataset range :99988.185138863177
OLD: confidence: 0.48771265149116516 confidence bounds at 95%: [ 0.44511681795120239 , 0.53030848503112793 ] support: 0.078077241778373718 number of use :529 number of events to predict :3599 number of events predicted: 281 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="639" score="-10.059298868656681" creationTime="5.819" confidence = "0.54720616340637207" support = "0.084774121642112732" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "304" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.54720616340637207" basesupport = "0.084774121642112732" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "304" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.493250000150876" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.48771265149116516" oldsupport = "0.078077241778373718" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "281" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.493250000150876" testexpConfidence = "-1" testexpSupport = "-1" parentId="617" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="641" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
8
similarId: *none*
base
Show/Hide
confidence: 0.44499999284744263
confidence bounds at 95%: [ 0.41419774293899536 , 0.47580224275588989 ]
support: 0.14389291405677795
number of use :1000
number of events to predict :3586
number of events predicted: 516
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.10498063535759282
density ln. v2 :4.9436409258031837
dist. expected v3 :-4.5311822330164677
density v3 :1.3884398648101652e-005
cum. density train v3 :1
cum. density test v3 :0.99999706447012593
dist. expected v4 :-4.3571040585494956
cum. density train v4 :1
cum. density test v4 :0.99999340518549629
dist. expected v5 :-4.3571040585495187
cum. density train v5 :1
cum. density test v5 :0.99999340518549629
old
Show/Hide
confidence: 0.4309999942779541
confidence bounds at 95%: [ 0.40030616521835327 , 0.46169382333755493 ]
support: 0.14115032553672791
number of use :1000
number of events to predict :3599
number of events predicted: 508
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.0017329043761645107
density ln. v2 :3.1336809701240376
dist. expected v3 :-5.4851717651661769
density v3 :1.1683616531969042e-007
cum. density train v3 :1
cum. density test v3 :0.99999997929627615
dist. expected v4 :-5.2742342322957807
cum. density train v4 :1
cum. density test v4 :0.99999993320833758
dist. expected v5 :-5.2742342322957523
cum. density train v5 :1
cum. density test v5 :0.99999993320833758
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -10.060034397043655
creation time: 3.4689999999999999
#id:8
a
← j (temp) [ -20 -1.009499999787657 ]
( 29 40 23 34 41 30 28 28 32 32 27 41 37 35 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 27 29 )
BASE: confidence: 0.44499999284744263 confidence bounds at 95%: [ 0.41419774293899536 , 0.47580224275588989 ] support: 0.14389291405677795 number of use :1000 number of events to predict :3586 number of events predicted: 516 dataset range :99988.185138863177
OLD: confidence: 0.4309999942779541 confidence bounds at 95%: [ 0.40030616521835327 , 0.46169382333755493 ] support: 0.14115032553672791 number of use :1000 number of events to predict :3599 number of events predicted: 508 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="8" score="-10.060034397043655" creationTime="3.4689999999999999" confidence = "0.44499999284744263" support = "0.14389291405677795" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "516" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.44499999284744263" basesupport = "0.14389291405677795" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "516" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.990500000212343" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4309999942779541" oldsupport = "0.14115032553672791" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "508" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.990500000212343" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
150
similarId: *none*
base
Show/Hide
confidence: 0.54142582416534424
confidence bounds at 95%: [ 0.49855649471282959 , 0.58429515361785889 ]
support: 0.082543224096298218
number of use :519
number of events to predict :3586
number of events predicted: 296
dataset range :99988.185138863177
rule range :14.492750000162051
exp. confidence :0.40536594600772557
exp. support :0.07247145874086236
std. error exp. confidence :0.021550871653530642
std. error exp. support :0.0043295424295029259
dist. expected v1 :6.7283722318553263
density v1 :5.8943899611976911e-011
cum. density train v1 :1.7253530493199776e-007
cum. density test v1 :8.6267659682448539e-012
density v2 :6.5309374132832863e-013
density ln. v2 :-35.22997415644425
dist. expected v3 :6.2501476522135739
density v3 :1.3127897676993377e-009
cum. density train v3 :4.1179730548845939e-006
cum. density test v3 :2.0589907556711751e-010
dist. expected v4 :6.1915575302761265
cum. density train v4 :5.9814929818102769e-006
cum. density test v4 :2.9907554210950593e-010
dist. expected v5 :6.1915575302761088
cum. density train v5 :5.9814929818102769e-006
cum. density test v5 :2.9907554210950593e-010
old
Show/Hide
confidence: 0.47448015213012695
confidence bounds at 95%: [ 0.43192699551582336 , 0.51703333854675293 ]
support: 0.076132260262966156
number of use :529
number of events to predict :3599
number of events predicted: 274
dataset range :99936.387513848851
rule range :14.492750000162051
exp. confidence :0.40664590364355047
exp. support :0.073851797522660467
std. error exp. confidence :0.021356856882614576
std. error exp. support :0.0043594314795037245
dist. expected v1 :3.2190167760368058
density v1 :0.0022429281983144533
cum. density train v1 :0.99999742200594299
cum. density test v1 :0.00064321799449373884
density v2 :0.058979056134099837
density ln. v2 :-10.272806923332473
dist. expected v3 :3.1244209258447024
density v3 :0.0030277315775001619
cum. density train v3 :0.99999998185421035
cum. density test v3 :0.000890844326338458
dist. expected v4 :3.0941877591111644
cum. density train v4 :0.99999999734378531
cum. density test v4 :0.00098683094991680598
dist. expected v5 :3.0941877591111724
cum. density train v5 :0.99999999734378531
cum. density test v5 :0.00098683094991669495
parentId:
134 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.076827209802252
creation time: 4.2770000000000001
#id:150
a
← r (temp) [ -18.500749999983238 -5.5072499998379492 ]
( 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 32 25 23 35 34 32 31 30 30 )
BASE: confidence: 0.54142582416534424 confidence bounds at 95%: [ 0.49855649471282959 , 0.58429515361785889 ] support: 0.082543224096298218 number of use :519 number of events to predict :3586 number of events predicted: 296 dataset range :99988.185138863177
OLD: confidence: 0.47448015213012695 confidence bounds at 95%: [ 0.43192699551582336 , 0.51703333854675293 ] support: 0.076132260262966156 number of use :529 number of events to predict :3599 number of events predicted: 274 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="150" score="-10.076827209802252" creationTime="4.2770000000000001" confidence = "0.54142582416534424" support = "0.082543224096298218" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "296" datasetrange = "99988.185138863177" rulerange = "14.492750000162051" expConfidence = "0.40536594600772557" expSupport = "0.07247145874086236" baseconfidence = "0.54142582416534424" basesupport = "0.082543224096298218" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "296" basedatasetrange = "99988.185138863177" baserulerange = "14.492750000162051" baseexpConfidence = "0.40536594600772557" baseexpSupport = "0.07247145874086236" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.993500000145289" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.47448015213012695" oldsupport = "0.076132260262966156" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "274" olddatasetrange = "99936.387513848851" oldrulerange = "14.492750000162051" oldexpConfidence = "0.40664590364355047" oldexpSupport = "0.073851797522660467" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.993500000145289" testexpConfidence = "-1" testexpSupport = "-1" parentId="134" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
374
similarId: *none*
base
Show/Hide
confidence: 0.40380048751831055
confidence bounds at 95%: [ 0.35693055391311646 , 0.45067042112350464 ]
support: 0.051310651004314423
number of use :421
number of events to predict :3586
number of events predicted: 184
dataset range :99988.185138863177
rule range :1.499250000016765
exp. confidence :0.052349827241910618
exp. support :0.0062927528256611076
std. error exp. confidence :0.010855269288660756
std. error exp. support :0.0013205182954997817
dist. expected v1 :47.014998009515054
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.7249529553556883e-231
density ln. v2 :-186.34008707354087
dist. expected v3 :32.416125048896774
density v3 :2.63917447547831e-229
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :32.399907123404468
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :32.39990712340478
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.4543147087097168
confidence bounds at 95%: [ 0.40514954924583435 , 0.50347989797592163 ]
support: 0.053070295602083206
number of use :394
number of events to predict :3599
number of events predicted: 191
dataset range :99936.387513848851
rule range :1.499250000016765
exp. confidence :0.052561032530939023
exp. support :0.0058934146458266001
std. error exp. confidence :0.011242410907846433
std. error exp. support :0.0012758777124413066
dist. expected v1 :51.422322659656558
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.1776627479528674e-290
density ln. v2 :-310.59577890963851
dist. expected v3 :35.766287549305474
density v3 :6.610371680626722e-279
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :35.750486369061541
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :35.750486369061576
cum. density train v5 :0
cum. density test v5 :0
parentId:
371 [Interactive]
creation: Add condition [ gain:0.0056444775579356232 impList:2 first:1 loop:10 ]
number of condition: 3
score: -10.081877147765775
creation time: 4.9089999999999998
#id:374
a
← r (temp) [ -1.509249999793248 -0.0099999997764825821 ]
( 59 65 77 )
← r (temp) [ -5.9930000001564618 -1.991000000201165 ]
( 7 11 6 12 11 8 71 72 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.40380048751831055 confidence bounds at 95%: [ 0.35693055391311646 , 0.45067042112350464 ] support: 0.051310651004314423 number of use :421 number of events to predict :3586 number of events predicted: 184 dataset range :99988.185138863177
OLD: confidence: 0.4543147087097168 confidence bounds at 95%: [ 0.40514954924583435 , 0.50347989797592163 ] support: 0.053070295602083206 number of use :394 number of events to predict :3599 number of events predicted: 191 dataset range :99936.387513848851
Add condition [ gain:0.0056444775579356232 impList:2 first:1 loop:10 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="374" score="-10.081877147765775" creationTime="4.9089999999999998" confidence = "0.40380048751831055" support = "0.051310651004314423" number_of_use = "421" number_of_events_to_predict = "3586" number_of_events_predicted = "184" datasetrange = "99988.185138863177" rulerange = "1.499250000016765" expConfidence = "0.052349827241910618" expSupport = "0.0062927528256611076" baseconfidence = "0.40380048751831055" basesupport = "0.051310651004314423" basenumber_of_use = "421" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "184" basedatasetrange = "99988.185138863177" baserulerange = "1.499250000016765" baseexpConfidence = "0.052349827241910618" baseexpSupport = "0.0062927528256611076" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167654" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4543147087097168" oldsupport = "0.053070295602083206" oldnumber_of_use = "394" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "191" olddatasetrange = "99936.387513848851" oldrulerange = "1.499250000016765" oldexpConfidence = "0.052561032530939023" oldexpSupport = "0.0058934146458266001" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167654" testexpConfidence = "-1" testexpSupport = "-1" parentId="371" entropyGain="0.0056444775579356232" type="2" split="-1" gaussian="-1" impList="2" firstElement="1" loop="10" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="59"/><i v="65"/><i v="77"/></values>
<bounds><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
176
similarId: *none*
base
Show/Hide
confidence: 0.52705061435699463
confidence bounds at 95%: [ 0.48617047071456909 , 0.56793075799942017 ]
support: 0.088120467960834503
number of use :573
number of events to predict :3586
number of events predicted: 316
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :3.398034464347929
density v1 :0.0012404790495951928
cum. density train v1 :0.99887432613095617
cum. density test v1 :0.0003394110584272747
density v2 :1.1839165910075608e-005
density ln. v2 :-17.283349166006609
dist. expected v3 :3.2784714724508932
density v3 :0.0018489707777757146
cum. density train v3 :0.99997079035629854
cum. density test v3 :0.00052191433727810654
dist. expected v4 :3.2335609277612778
cum. density train v4 :0.99999512169466931
cum. density test v4 :0.00061134868353085459
dist. expected v5 :3.2335609277612698
cum. density train v5 :0.99999512169466931
cum. density test v5 :0.00061134868353085459
old
Show/Hide
confidence: 0.48063379526138306
confidence bounds at 95%: [ 0.43954476714134216 , 0.52172285318374634 ]
support: 0.079466521739959717
number of use :568
number of events to predict :3599
number of events predicted: 286
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :1.096317225239849
density v1 :0.21873501424853814
cum. density train v1 :1
cum. density test v1 :0.13647003010976133
density v2 :0.44237642979875963
density ln. v2 :-4.2685164397891411
dist. expected v3 :0.97687855174124139
density v3 :0.24756443544358953
cum. density train v3 :1
cum. density test v3 :0.16431464151766595
dist. expected v4 :0.96369187794862354
cum. density train v4 :1
cum. density test v4 :0.16760020940820608
dist. expected v5 :0.96369187794862354
cum. density train v5 :1
cum. density test v5 :0.16760020940820608
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.091439981937931
creation time: 4.3419999999999996
#id:176
a
← r (temp) [ -20 -6.5067499998491254 ]
( 14 11 12 13 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 9 16 15 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.52705061435699463 confidence bounds at 95%: [ 0.48617047071456909 , 0.56793075799942017 ] support: 0.088120467960834503 number of use :573 number of events to predict :3586 number of events predicted: 316 dataset range :99988.185138863177
OLD: confidence: 0.48063379526138306 confidence bounds at 95%: [ 0.43954476714134216 , 0.52172285318374634 ] support: 0.079466521739959717 number of use :568 number of events to predict :3599 number of events predicted: 286 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="176" score="-10.091439981937931" creationTime="4.3419999999999996" confidence = "0.52705061435699463" support = "0.088120467960834503" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "316" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.52705061435699463" basesupport = "0.088120467960834503" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "316" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.493250000150875" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.48063379526138306" oldsupport = "0.079466521739959717" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "286" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.493250000150875" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
<values></values>
<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
190
similarId: *none*
base
Show/Hide
confidence: 0.52006983757019043
confidence bounds at 95%: [ 0.47916275262832642 , 0.56097692251205444 ]
support: 0.087005019187927246
number of use :573
number of events to predict :3586
number of events predicted: 312
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :3.062549716000508
density v1 :0.0036664040699896402
cum. density train v1 :0.9999999997095036
cum. density test v1 :0.001097368955094824
density v2 :9.4401492583370339e-005
density ln. v2 :-14.967494680698197
dist. expected v3 :2.9429866944505991
density v3 :0.0052500174684448862
cum. density train v3 :0.99999999999999256
cum. density test v3 :0.0016253803434879144
dist. expected v4 :2.9026718292542091
cum. density train v4 :0.99999999999999989
cum. density test v4 :0.0018500376588340695
dist. expected v5 :2.902671829254202
cum. density train v5 :0.99999999999999989
cum. density test v5 :0.0018500376588341805
old
Show/Hide
confidence: 0.44718310236930847
confidence bounds at 95%: [ 0.40629327297210693 , 0.48807293176651001 ]
support: 0.074187271296977997
number of use :568
number of events to predict :3599
number of events predicted: 267
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :10.166083505483176
density ln. v2 :1.5803929234917804
dist. expected v3 :-0.62329785265025217
density v3 :0.32850978987081947
cum. density train v3 :1
cum. density test v3 :0.73345565125329593
dist. expected v4 :-0.61488408878586209
cum. density train v4 :1
cum. density test v4 :0.73068441734198197
dist. expected v5 :-0.61488408878586209
cum. density train v5 :1
cum. density test v5 :0.73068441734198197
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.093291063146774
creation time: 4.3789999999999996
#id:190
a
← r (temp) [ -18.000999999977651 -5.5072499998379492 ]
( 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 9 16 15 13 17 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.52006983757019043 confidence bounds at 95%: [ 0.47916275262832642 , 0.56097692251205444 ] support: 0.087005019187927246 number of use :573 number of events to predict :3586 number of events predicted: 312 dataset range :99988.185138863177
OLD: confidence: 0.44718310236930847 confidence bounds at 95%: [ 0.40629327297210693 , 0.48807293176651001 ] support: 0.074187271296977997 number of use :568 number of events to predict :3599 number of events predicted: 267 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="190" score="-10.093291063146774" creationTime="4.3789999999999996" confidence = "0.52006983757019043" support = "0.087005019187927246" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "312" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.52006983757019043" basesupport = "0.087005019187927246" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "312" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.493750000139702" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.44718310236930847" oldsupport = "0.074187271296977997" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "267" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.493750000139702" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
459
similarId: *none*
base
Show/Hide
confidence: 0.38986784219741821
confidence bounds at 95%: [ 0.34500375390052795 , 0.43473193049430847 ]
support: 0.0538204126060009
number of use :454
number of events to predict :3586
number of events predicted: 193
dataset range :99988.185138863177
rule range :3.4982500000391181
exp. confidence :0.11791271295582006
exp. support :0.015758720785927549
std. error exp. confidence :0.015135897252460622
std. error exp. support :0.0020797260202561237
dist. expected v1 :25.647042694265973
density v1 :5.8586275940182926e-144
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.8594434128719278e-069
density ln. v2 :-58.882250892532674
dist. expected v3 :17.997453258455678
density v3 :1.8412435288082964e-071
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :17.972252986821907
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :17.972252986821854
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.33149170875549316
confidence bounds at 95%: [ 0.29189619421958923 , 0.37108722329139709 ]
support: 0.053903862833976746
number of use :543
number of events to predict :3599
number of events predicted: 194
dataset range :99936.387513848851
rule range :3.4982500000391181
exp. confidence :0.11837136723035968
exp. support :0.018828410026729636
std. error exp. confidence :0.013863288473948904
std. error exp. support :0.0022656268489717368
dist. expected v1 :21.817608684941867
density v1 :1.7261383977635412e-104
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.0397325998972062e-049
density ln. v2 :-34.236024009452684
dist. expected v3 :15.404081115404541
density v3 :1.1884248769163487e-052
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :15.374459706338435
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :15.374459706338536
cum. density train v5 :0
cum. density test v5 :0
parentId:
446 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.126820957275049
creation time: 5.2039999999999997
#id:459
a
← r (temp) [ -3.5082499998155972 -2.008999999798835 ]
( 63 58 88 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
← r (temp) [ -1.991000000201165 -0.49025000021793019 ]
( 95 101 120 )
BASE: confidence: 0.38986784219741821 confidence bounds at 95%: [ 0.34500375390052795 , 0.43473193049430847 ] support: 0.0538204126060009 number of use :454 number of events to predict :3586 number of events predicted: 193 dataset range :99988.185138863177
OLD: confidence: 0.33149170875549316 confidence bounds at 95%: [ 0.29189619421958923 , 0.37108722329139709 ] support: 0.053903862833976746 number of use :543 number of events to predict :3599 number of events predicted: 194 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="459" score="-10.126820957275049" creationTime="5.2039999999999997" confidence = "0.38986784219741821" support = "0.0538204126060009" number_of_use = "454" number_of_events_to_predict = "3586" number_of_events_predicted = "193" datasetrange = "99988.185138863177" rulerange = "3.4982500000391181" expConfidence = "0.11791271295582006" expSupport = "0.015758720785927549" baseconfidence = "0.38986784219741821" basesupport = "0.0538204126060009" basenumber_of_use = "454" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "193" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391181" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.015758720785927549" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167621" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.33149170875549316" oldsupport = "0.053903862833976746" oldnumber_of_use = "543" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "194" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391181" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.018828410026729636" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167621" testexpConfidence = "-1" testexpSupport = "-1" parentId="446" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
227
similarId: *none*
base
Show/Hide
confidence: 0.53371870517730713
confidence bounds at 95%: [ 0.49079939723014832 , 0.57663798332214355 ]
support: 0.082822084426879883
number of use :519
number of events to predict :3586
number of events predicted: 297
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :5.7367618798610263
density v1 :2.847734533446142e-008
cum. density train v1 :9.6785323539294588e-005
cum. density test v1 :4.8395003560131045e-009
density v2 :3.0365891769280524e-009
density ln. v2 :-26.909550248147561
dist. expected v3 :5.3846944758775992
density v3 :2.0171584607522709e-007
cum. density train v3 :0.00072704066459527983
cum. density test v3 :3.6365253697212552e-008
dist. expected v4 :5.3318931986538667
cum. density train v4 :0.00097355008236388318
cum. density test v4 :4.8701213284374489e-008
dist. expected v5 :5.3318931986538605
cum. density train v5 :0.00097355008236388318
cum. density test v5 :4.8701213284374489e-008
old
Show/Hide
confidence: 0.47637051343917847
confidence bounds at 95%: [ 0.43380942940711975 , 0.51893162727355957 ]
support: 0.074465125799179077
number of use :529
number of events to predict :3599
number of events predicted: 268
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :2.7584851436412849
density v1 :0.0088835086919653358
cum. density train v1 :1
cum. density test v1 :0.0029035536303438914
density v2 :0.044130773497056207
density ln. v2 :-10.128616658550211
dist. expected v3 :2.6878428804443124
density v3 :0.010767873992497592
cum. density train v3 :1
cum. density test v3 :0.0035958090645040741
dist. expected v4 :2.6606369192446868
cum. density train v4 :1
cum. density test v4 :0.0038996943000271234
dist. expected v5 :2.6606369192446824
cum. density train v5 :1
cum. density test v5 :0.0038996943000272344
parentId:
201 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.127430599542242
creation time: 4.4829999999999997
#id:227
a
← r (temp) [ -18.000999999977651 -5.0074999998323619 ]
( 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.53371870517730713 confidence bounds at 95%: [ 0.49079939723014832 , 0.57663798332214355 ] support: 0.082822084426879883 number of use :519 number of events to predict :3586 number of events predicted: 297 dataset range :99988.185138863177
OLD: confidence: 0.47637051343917847 confidence bounds at 95%: [ 0.43380942940711975 , 0.51893162727355957 ] support: 0.074465125799179077 number of use :529 number of events to predict :3599 number of events predicted: 268 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="227" score="-10.127430599542242" creationTime="4.4829999999999997" confidence = "0.53371870517730713" support = "0.082822084426879883" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "297" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.53371870517730713" basesupport = "0.082822084426879883" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "297" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.993500000145289" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.47637051343917847" oldsupport = "0.074465125799179077" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "268" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.993500000145289" testexpConfidence = "-1" testexpSupport = "-1" parentId="201" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
643
similarId: *none*
base
Show/Hide
confidence: 0.53371870517730713
confidence bounds at 95%: [ 0.49079939723014832 , 0.57663798332214355 ]
support: 0.082822084426879883
number of use :519
number of events to predict :3586
number of events predicted: 297
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :5.7367618798610263
density v1 :2.847734533446142e-008
cum. density train v1 :9.6785323539294588e-005
cum. density test v1 :4.8395003560131045e-009
density v2 :3.0365891769280524e-009
density ln. v2 :-26.909550248147561
dist. expected v3 :5.3846944758775992
density v3 :2.0171584607522709e-007
cum. density train v3 :0.00072704066459527983
cum. density test v3 :3.6365253697212552e-008
dist. expected v4 :5.3318931986538667
cum. density train v4 :0.00097355008236388318
cum. density test v4 :4.8701213284374489e-008
dist. expected v5 :5.3318931986538605
cum. density train v5 :0.00097355008236388318
cum. density test v5 :4.8701213284374489e-008
old
Show/Hide
confidence: 0.47637051343917847
confidence bounds at 95%: [ 0.43380942940711975 , 0.51893162727355957 ]
support: 0.074465125799179077
number of use :529
number of events to predict :3599
number of events predicted: 268
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :2.7584851436412849
density v1 :0.0088835086919653358
cum. density train v1 :1
cum. density test v1 :0.0029035536303438914
density v2 :0.044130773497056207
density ln. v2 :-10.128616658550211
dist. expected v3 :2.6878428804443124
density v3 :0.010767873992497592
cum. density train v3 :1
cum. density test v3 :0.0035958090645040741
dist. expected v4 :2.6606369192446868
cum. density train v4 :1
cum. density test v4 :0.0038996943000271234
dist. expected v5 :2.6606369192446824
cum. density train v5 :1
cum. density test v5 :0.0038996943000272344
parentId:
617 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.167977112146001
creation time: 5.8230000000000004
#id:643
a
← r (temp) [ -18.000999999977651 -5.0074999998323619 ]
( 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.53371870517730713 confidence bounds at 95%: [ 0.49079939723014832 , 0.57663798332214355 ] support: 0.082822084426879883 number of use :519 number of events to predict :3586 number of events predicted: 297 dataset range :99988.185138863177
OLD: confidence: 0.47637051343917847 confidence bounds at 95%: [ 0.43380942940711975 , 0.51893162727355957 ] support: 0.074465125799179077 number of use :529 number of events to predict :3599 number of events predicted: 268 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="643" score="-10.167977112146001" creationTime="5.8230000000000004" confidence = "0.53371870517730713" support = "0.082822084426879883" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "297" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.53371870517730713" basesupport = "0.082822084426879883" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "297" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.993500000145289" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.47637051343917847" oldsupport = "0.074465125799179077" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "268" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.993500000145289" testexpConfidence = "-1" testexpSupport = "-1" parentId="617" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
153
similarId: *none*
base
Show/Hide
confidence: 0.5279383659362793
confidence bounds at 95%: [ 0.48498833179473877 , 0.57088840007781982 ]
support: 0.080591186881065369
number of use :519
number of events to predict :3586
number of events predicted: 289
dataset range :99988.185138863177
rule range :14.492750000162051
exp. confidence :0.40536594600772557
exp. support :0.07247145874086236
std. error exp. confidence :0.021550871653530642
std. error exp. support :0.0043295424295029259
dist. expected v1 :5.9888096952211507
density v1 :6.4974287450423811e-009
cum. density train v1 :2.1213148297505313e-005
cum. density test v1 :1.0606686640102225e-009
density v2 :2.6166544044204717e-010
density ln. v2 :-29.368430906432337
dist. expected v3 :5.6243048081577518
density v3 :5.3942842631826139e-008
cum. density train v3 :0.00018674611270663721
cum. density test v3 :9.3381775645440257e-009
dist. expected v4 :5.5715814609890435
cum. density train v4 :0.00025306461944918368
cum. density test v4 :1.265483218215735e-008
dist. expected v5 :5.5715814609890275
cum. density train v5 :0.00025306461944918368
cum. density test v5 :1.265483218215735e-008
old
Show/Hide
confidence: 0.46313798427581787
confidence bounds at 95%: [ 0.42064523696899414 , 0.5056307315826416 ]
support: 0.072520144283771515
number of use :529
number of events to predict :3599
number of events predicted: 261
dataset range :99936.387513848851
rule range :14.492750000162051
exp. confidence :0.40664590364355047
exp. support :0.073851797522660467
std. error exp. confidence :0.021356856882614576
std. error exp. support :0.0043594314795037245
dist. expected v1 :2.6451495621649483
density v1 :0.012066205879669428
cum. density train v1 :1
cum. density test v1 :0.0040827822884643705
density v2 :0.15602472215636909
density ln. v2 :-9.0115798248929853
dist. expected v3 :2.5802394407305895
density v3 :0.014296274230925115
cum. density train v3 :1
cum. density test v3 :0.0049366220151729756
dist. expected v4 :2.5552719952181158
cum. density train v4 :1
cum. density test v4 :0.0053052682537707563
dist. expected v5 :2.555271995218122
cum. density train v5 :1
cum. density test v5 :0.0053052682537706453
parentId:
134 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.186378259496871
creation time: 4.2809999999999997
#id:153
a
← r (temp) [ -18.000999999977651 -5.5072499998379492 ]
( 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 32 25 23 35 34 32 31 30 30 )
BASE: confidence: 0.5279383659362793 confidence bounds at 95%: [ 0.48498833179473877 , 0.57088840007781982 ] support: 0.080591186881065369 number of use :519 number of events to predict :3586 number of events predicted: 289 dataset range :99988.185138863177
OLD: confidence: 0.46313798427581787 confidence bounds at 95%: [ 0.42064523696899414 , 0.5056307315826416 ] support: 0.072520144283771515 number of use :529 number of events to predict :3599 number of events predicted: 261 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="153" score="-10.186378259496871" creationTime="4.2809999999999997" confidence = "0.5279383659362793" support = "0.080591186881065369" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "289" datasetrange = "99988.185138863177" rulerange = "14.492750000162051" expConfidence = "0.40536594600772557" expSupport = "0.07247145874086236" baseconfidence = "0.5279383659362793" basesupport = "0.080591186881065369" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "289" basedatasetrange = "99988.185138863177" baserulerange = "14.492750000162051" baseexpConfidence = "0.40536594600772557" baseexpSupport = "0.07247145874086236" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.493750000139702" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.46313798427581787" oldsupport = "0.072520144283771515" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "261" olddatasetrange = "99936.387513848851" oldrulerange = "14.492750000162051" oldexpConfidence = "0.40664590364355047" oldexpSupport = "0.073851797522660467" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.493750000139702" testexpConfidence = "-1" testexpSupport = "-1" parentId="134" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
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<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
316
similarId: *none*
base
Show/Hide
confidence: 0.67857140302658081
confidence bounds at 95%: [ 0.61741077899932861 , 0.73973202705383301 ]
support: 0.059955380856990814
number of use :224
number of events to predict :3586
number of events predicted: 215
dataset range :99988.185138863177
rule range :18.990500000212339
exp. confidence :0.49396249136343995
exp. support :0.041655332094502451
std. error exp. confidence :0.033405219631274331
std. error exp. support :0.0033364991873627804
dist. expected v1 :7.7861175637683901
density v1 :2.7331079648009466e-014
cum. density train v1 :7.1054273576010019e-011
cum. density test v1 :3.5527136788005009e-015
density v2 :1.3124390795631575e-005
density ln. v2 :-14.056428110236332
dist. expected v3 :5.538956521702131
density v3 :8.6860868776482008e-008
cum. density train v3 :0.00030500705861646882
cum. density test v3 :1.5252679008703751e-008
dist. expected v4 :5.5222756505590267
cum. density train v4 :0.00033542103532480105
cum. density test v4 :1.6773864963681717e-008
dist. expected v5 :5.5222756505590231
cum. density train v5 :0.00033542103532480105
cum. density test v5 :1.6773864963681717e-008
old
Show/Hide
confidence: 0.65271967649459839
confidence bounds at 95%: [ 0.59235811233520508 , 0.7130812406539917 ]
support: 0.063628785312175751
number of use :239
number of events to predict :3599
number of events predicted: 229
dataset range :99936.387513848851
rule range :18.990500000212339
exp. confidence :0.4953893467247662
exp. support :0.044404431591103521
std. error exp. confidence :0.032340936264718109
std. error exp. support :0.0034336758800083281
dist. expected v1 :7.4170021239470758
density v1 :4.5208834233936781e-013
cum. density train v1 :1.2079226507921703e-009
cum. density test v1 :6.0396132539608516e-014
density v2 :0.0049337036666019561
density ln. v2 :-5.9440443850323428
dist. expected v3 :4.8826846341401087
density v3 :2.6545294478167472e-006
cum. density train v3 :0.010425124278642395
cum. density test v3 :5.2399218986032281e-007
dist. expected v4 :4.8660897387336082
cum. density train v4 :0.011333818985580502
cum. density test v4 :5.6992664621002831e-007
dist. expected v5 :4.8660897387336099
cum. density train v5 :0.011333818985580502
cum. density test v5 :5.6992664621002831e-007
parentId:
311 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.192624929346511
creation time: 4.7329999999999997
#id:316
a
← j (temp) [ -20 -1.009499999787657 ]
( 8 11 8 13 9 5 5 6 5 8 2 14 4 7 9 5 6 0 0 0 0 0 0 0 0 0 0 0 0 0 10 13 7 15 11 12 15 18 )
← r (temp) [ -3.992000000178813 0.0099999997764825821 ]
( 15 29 14 23 17 30 26 22 )
BASE: confidence: 0.67857140302658081 confidence bounds at 95%: [ 0.61741077899932861 , 0.73973202705383301 ] support: 0.059955380856990814 number of use :224 number of events to predict :3586 number of events predicted: 215 dataset range :99988.185138863177
OLD: confidence: 0.65271967649459839 confidence bounds at 95%: [ 0.59235811233520508 , 0.7130812406539917 ] support: 0.063628785312175751 number of use :239 number of events to predict :3599 number of events predicted: 229 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="316" score="-10.192624929346511" creationTime="4.7329999999999997" confidence = "0.67857140302658081" support = "0.059955380856990814" number_of_use = "224" number_of_events_to_predict = "3586" number_of_events_predicted = "215" datasetrange = "99988.185138863177" rulerange = "18.990500000212339" expConfidence = "0.49396249136343995" expSupport = "0.041655332094502451" baseconfidence = "0.67857140302658081" basesupport = "0.059955380856990814" basenumber_of_use = "224" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "215" basedatasetrange = "99988.185138863177" baserulerange = "18.990500000212339" baseexpConfidence = "0.49396249136343995" baseexpSupport = "0.041655332094502451" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.990500000212343" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.65271967649459839" oldsupport = "0.063628785312175751" oldnumber_of_use = "239" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "229" olddatasetrange = "99936.387513848851" oldrulerange = "18.990500000212339" oldexpConfidence = "0.4953893467247662" oldexpSupport = "0.044404431591103521" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.990500000212343" testexpConfidence = "-1" testexpSupport = "-1" parentId="311" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
268
similarId:
270
base
Show/Hide
confidence: 0.52601158618927002
confidence bounds at 95%: [ 0.48305261135101318 , 0.56897056102752686 ]
support: 0.081148914992809296
number of use :519
number of events to predict :3586
number of events predicted: 291
dataset range :99988.185138863177
rule range :15.492250000173231
exp. confidence :0.42630694830917171
exp. support :0.07727175046923429
std. error exp. confidence :0.021707875475812845
std. error exp. support :0.0044590479354880358
dist. expected v1 :4.6745954654989967
density v1 :7.1753435478130155e-006
cum. density train v1 :0.029056098230867633
cum. density test v1 :1.4743282145124326e-006
density v2 :4.9487524867805487e-007
density ln. v2 :-21.908335383755954
dist. expected v3 :4.5241017785966786
density v3 :1.4336712760288971e-005
cum. density train v3 :0.058904008923144735
cum. density test v3 :3.0355021405359395e-006
dist. expected v4 :4.4777477428527348
cum. density train v4 :0.072722547071586097
cum. density test v4 :3.7751156855003742e-006
dist. expected v5 :4.4777477428527481
cum. density train v5 :0.072722547071586097
cum. density test v5 :3.7751156855003742e-006
old
Show/Hide
confidence: 0.47637051343917847
confidence bounds at 95%: [ 0.43380942940711975 , 0.51893162727355957 ]
support: 0.073631562292575836
number of use :529
number of events to predict :3599
number of events predicted: 265
dataset range :99936.387513848851
rule range :15.492250000173231
exp. confidence :0.42762690379987212
exp. support :0.078739580774717099
std. error exp. confidence :0.021510191673586216
std. error exp. support :0.004489488176044055
dist. expected v1 :2.2660704459998766
density v1 :0.030608541765247639
cum. density train v1 :1
cum. density test v1 :0.011723499641877355
density v2 :0.090825390352195834
density ln. v2 :-8.6221801942355949
dist. expected v3 :2.1839816938089176
density v3 :0.03674230170613197
cum. density train v3 :1
cum. density test v3 :0.014481745838069715
dist. expected v4 :2.1608835181009445
cum. density train v4 :1
cum. density test v4 :0.015352114727197108
dist. expected v5 :2.1608835181009445
cum. density train v5 :1
cum. density test v5 :0.015352114727197108
parentId:
241 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.226430576654058
creation time: 4.5890000000000004
#id:268
a
← r (temp) [ -17.50124999997206 -4.5077499998267747 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 15 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 35 33 25 24 36 34 33 31 31 30 )
BASE: confidence: 0.52601158618927002 confidence bounds at 95%: [ 0.48305261135101318 , 0.56897056102752686 ] support: 0.081148914992809296 number of use :519 number of events to predict :3586 number of events predicted: 291 dataset range :99988.185138863177
OLD: confidence: 0.47637051343917847 confidence bounds at 95%: [ 0.43380942940711975 , 0.51893162727355957 ] support: 0.073631562292575836 number of use :529 number of events to predict :3599 number of events predicted: 265 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="268" score="-10.226430576654058" creationTime="4.5890000000000004" confidence = "0.52601158618927002" support = "0.081148914992809296" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "291" datasetrange = "99988.185138863177" rulerange = "15.492250000173231" expConfidence = "0.42630694830917171" expSupport = "0.07727175046923429" baseconfidence = "0.52601158618927002" basesupport = "0.081148914992809296" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "291" basedatasetrange = "99988.185138863177" baserulerange = "15.492250000173231" baseexpConfidence = "0.42630694830917171" baseexpSupport = "0.07727175046923429" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.993500000145286" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.47637051343917847" oldsupport = "0.073631562292575836" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "265" olddatasetrange = "99936.387513848851" oldrulerange = "15.492250000173231" oldexpConfidence = "0.42762690379987212" oldexpSupport = "0.078739580774717099" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.993500000145286" testexpConfidence = "-1" testexpSupport = "-1" parentId="241" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
452
similarId: *none*
base
Show/Hide
confidence: 0.44273129105567932
confidence bounds at 95%: [ 0.39704030752182007 , 0.48842227458953857 ]
support: 0.059397656470537186
number of use :454
number of events to predict :3586
number of events predicted: 213
dataset range :99988.185138863177
rule range :3.4982500000391181
exp. confidence :0.11791271295582006
exp. support :0.015758720785927549
std. error exp. confidence :0.015135897252460622
std. error exp. support :0.0020797260202561237
dist. expected v1 :30.013748396867101
density v1 :9.7549843659277504e-197
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.3432927865133073e-104
density ln. v2 :-123.35859032968783
dist. expected v3 :21.480858026741199
density v3 :2.5307737263766409e-101
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :21.450780245767053
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :21.450780245766989
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.41988950967788696
confidence bounds at 95%: [ 0.37837699055671692 , 0.46140202879905701 ]
support: 0.069463737308979034
number of use :543
number of events to predict :3599
number of events predicted: 250
dataset range :99936.387513848851
rule range :3.4982500000391181
exp. confidence :0.11837136723035968
exp. support :0.018828410026729636
std. error exp. confidence :0.013863288473948904
std. error exp. support :0.0022656268489717368
dist. expected v1 :31.185420180352459
density v1 :2.6218633544236555e-212
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.7423153594473501e-103
density ln. v2 :-90.324102726718536
dist. expected v3 :21.804128808185428
density v3 :2.3161228357785884e-104
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :21.762200372862438
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :21.76220037286258
cum. density train v5 :0
cum. density test v5 :0
parentId:
446 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.268293965672509
creation time: 5.1920000000000002
#id:452
a
← r (temp) [ -4.5077499998267747 -1.009499999787657 ]
( 14 30 63 58 0 0 64 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
← r (temp) [ -1.991000000201165 -0.49025000021793019 ]
( 95 101 120 )
BASE: confidence: 0.44273129105567932 confidence bounds at 95%: [ 0.39704030752182007 , 0.48842227458953857 ] support: 0.059397656470537186 number of use :454 number of events to predict :3586 number of events predicted: 213 dataset range :99988.185138863177
OLD: confidence: 0.41988950967788696 confidence bounds at 95%: [ 0.37837699055671692 , 0.46140202879905701 ] support: 0.069463737308979034 number of use :543 number of events to predict :3599 number of events predicted: 250 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="452" score="-10.268293965672509" creationTime="5.1920000000000002" confidence = "0.44273129105567932" support = "0.059397656470537186" number_of_use = "454" number_of_events_to_predict = "3586" number_of_events_predicted = "213" datasetrange = "99988.185138863177" rulerange = "3.4982500000391181" expConfidence = "0.11791271295582006" expSupport = "0.015758720785927549" baseconfidence = "0.44273129105567932" basesupport = "0.059397656470537186" basenumber_of_use = "454" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "213" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391181" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.015758720785927549" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.4982500000391177" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.41988950967788696" oldsupport = "0.069463737308979034" oldnumber_of_use = "543" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "250" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391181" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.018828410026729636" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.4982500000391177" testexpConfidence = "-1" testexpSupport = "-1" parentId="446" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
288
similarId: *none*
base
Show/Hide
confidence: 0.5279383659362793
confidence bounds at 95%: [ 0.48498833179473877 , 0.57088840007781982 ]
support: 0.079196877777576447
number of use :519
number of events to predict :3586
number of events predicted: 284
dataset range :99988.185138863177
rule range :13.99300000015646
exp. confidence :0.39461060017506044
exp. support :0.070061974395799642
std. error exp. confidence :0.021454485336386147
std. error exp. support :0.0042624867953882789
dist. expected v1 :6.5735986367091606
density v1 :1.6500620255749776e-010
cum. density train v1 :4.9366277032891759e-007
cum. density test v1 :2.4683144417281255e-011
density v2 :1.2968005222398992e-012
density ln. v2 :-34.626564169523746
dist. expected v3 :6.1473048709906761
density v3 :2.4834499821273043e-009
cum. density train v3 :7.9121951911398369e-006
cum. density test v3 :3.9561132147980516e-010
dist. expected v4 :6.0922800654157676
cum. density train v4 :1.1173759460469945e-005
cum. density test v4 :5.586910933885747e-010
dist. expected v5 :6.0922800654157729
cum. density train v5 :1.1173759460469945e-005
cum. density test v5 :5.586910933885747e-010
old
Show/Hide
confidence: 0.4933837354183197
confidence bounds at 95%: [ 0.4507787823677063 , 0.53598868846893311 ]
support: 0.079744376242160797
number of use :529
number of events to predict :3599
number of events predicted: 287
dataset range :99936.387513848851
rule range :13.99300000015646
exp. confidence :0.39586881724568057
exp. support :0.071398208288108167
std. error exp. confidence :0.021262456452656377
std. error exp. support :0.004292076875711516
dist. expected v1 :4.981461923683618
density v1 :1.6308324275439164e-006
cum. density train v1 :0.0063004427731851997
cum. density test v1 :3.1601866634645148e-007
density v2 :7.7333599745015667e-005
density ln. v2 :-16.426791623709388
dist. expected v3 :4.5457360402229217
density v3 :1.2996940077071493e-005
cum. density train v3 :0.053322634626433829
cum. density test v3 :2.739843002030895e-006
dist. expected v4 :4.5037349165873373
cum. density train v4 :0.064647095815898337
cum. density test v4 :3.34156358072768e-006
dist. expected v5 :4.5037349165873248
cum. density train v5 :0.064647095815898337
cum. density test v5 :3.34156358072768e-006
parentId:
280 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.334611424784342
creation time: 4.6449999999999996
#id:288
a
← r (temp) [ -20 -6.0069999998435382 ]
( 14 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 0 12 17 12 9 0 14 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 31 24 22 34 31 32 29 29 30 )
BASE: confidence: 0.5279383659362793 confidence bounds at 95%: [ 0.48498833179473877 , 0.57088840007781982 ] support: 0.079196877777576447 number of use :519 number of events to predict :3586 number of events predicted: 284 dataset range :99988.185138863177
OLD: confidence: 0.4933837354183197 confidence bounds at 95%: [ 0.4507787823677063 , 0.53598868846893311 ] support: 0.079744376242160797 number of use :529 number of events to predict :3599 number of events predicted: 287 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="288" score="-10.334611424784342" creationTime="4.6449999999999996" confidence = "0.5279383659362793" support = "0.079196877777576447" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "284" datasetrange = "99988.185138863177" rulerange = "13.99300000015646" expConfidence = "0.39461060017506044" expSupport = "0.070061974395799642" baseconfidence = "0.5279383659362793" basesupport = "0.079196877777576447" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "284" basedatasetrange = "99988.185138863177" baserulerange = "13.99300000015646" baseexpConfidence = "0.39461060017506044" baseexpSupport = "0.070061974395799642" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.993000000156462" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4933837354183197" oldsupport = "0.079744376242160797" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "287" olddatasetrange = "99936.387513848851" oldrulerange = "13.99300000015646" oldexpConfidence = "0.39586881724568057" oldexpSupport = "0.071398208288108167" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.993000000156462" testexpConfidence = "-1" testexpSupport = "-1" parentId="280" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
189
similarId: *none*
base
Show/Hide
confidence: 0.49738219380378723
confidence bounds at 95%: [ 0.45644265413284302 , 0.53832173347473145 ]
support: 0.081706635653972626
number of use :573
number of events to predict :3586
number of events predicted: 293
dataset range :99988.185138863177
rule range :16.991500000189991
exp. confidence :0.45634421048519846
exp. support :0.092789773909581874
std. error exp. confidence :0.020808030234432739
std. error exp. support :0.0048450569266264114
dist. expected v1 :1.9722185548673359
density v1 :0.057053745762841862
cum. density train v1 :1
cum. density test v1 :0.02429226197899137
density v2 :0.0052065340210298251
density ln. v2 :-9.11384937861928
dist. expected v3 :1.8401268963953541
density v3 :0.073389674281349113
cum. density train v3 :1
cum. density test v3 :0.032874745694902563
dist. expected v4 :1.8149196917850459
cum. density train v4 :1
cum. density test v4 :0.034768070963453024
dist. expected v5 :1.8149196917850416
cum. density train v5 :1
cum. density test v5 :0.034768070963453357
old
Show/Hide
confidence: 0.43838027119636536
confidence bounds at 95%: [ 0.39757382869720459 , 0.47918671369552612 ]
support: 0.071408726274967194
number of use :568
number of events to predict :3599
number of events predicted: 257
dataset range :99936.387513848851
rule range :16.991500000189991
exp. confidence :0.45771596441273443
exp. support :0.092063978123018253
std. error exp. confidence :0.020904379062031731
std. error exp. support :0.0048192734425803524
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :5.3870583261607701
density ln. v2 :2.9981451114190651
dist. expected v3 :-1.0546313649141712
density v3 :0.2287644994789341
cum. density train v3 :1
cum. density test v3 :0.85420299343601047
dist. expected v4 :-1.040395122593365
cum. density train v4 :1
cum. density test v4 :0.85092179162474746
dist. expected v5 :-1.040395122593365
cum. density train v5 :1
cum. density test v5 :0.85092179162474746
parentId:
169 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.356547647575493
creation time: 4.375
#id:189
a
← r (temp) [ -18.500749999983238 -6.5067499998491254 ]
( 13 21 8 18 20 11 16 18 19 13 22 13 11 17 10 13 20 18 12 18 12 9 16 15 )
← j (temp) [ -5.4927500001620508 0.0099999997764825821 ]
( 38 39 39 34 28 40 39 39 38 35 37 )
BASE: confidence: 0.49738219380378723 confidence bounds at 95%: [ 0.45644265413284302 , 0.53832173347473145 ] support: 0.081706635653972626 number of use :573 number of events to predict :3586 number of events predicted: 293 dataset range :99988.185138863177
OLD: confidence: 0.43838027119636536 confidence bounds at 95%: [ 0.39757382869720459 , 0.47918671369552612 ] support: 0.071408726274967194 number of use :568 number of events to predict :3599 number of events predicted: 257 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="189" score="-10.356547647575493" creationTime="4.375" confidence = "0.49738219380378723" support = "0.081706635653972626" number_of_use = "573" number_of_events_to_predict = "3586" number_of_events_predicted = "293" datasetrange = "99988.185138863177" rulerange = "16.991500000189991" expConfidence = "0.45634421048519846" expSupport = "0.092789773909581874" baseconfidence = "0.49738219380378723" basesupport = "0.081706635653972626" basenumber_of_use = "573" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "293" basedatasetrange = "99988.185138863177" baserulerange = "16.991500000189991" baseexpConfidence = "0.45634421048519846" baseexpSupport = "0.092789773909581874" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.994000000134113" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43838027119636536" oldsupport = "0.071408726274967194" oldnumber_of_use = "568" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "257" olddatasetrange = "99936.387513848851" oldrulerange = "16.991500000189991" oldexpConfidence = "0.45771596441273443" oldexpSupport = "0.092063978123018253" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.994000000134113" testexpConfidence = "-1" testexpSupport = "-1" parentId="169" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
546
similarId:
550 ,
551 ,
552 ,
554 ,
557
base
Show/Hide
confidence: 0.51830440759658813
confidence bounds at 95%: [ 0.47531601786613464 , 0.56129276752471924 ]
support: 0.079754598438739777
number of use :519
number of events to predict :3586
number of events predicted: 286
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :7.7208601300015278
density v1 :4.5331279377054079e-014
cum. density train v1 :1.1546319456101628e-010
cum. density test v1 :5.773159728050814e-015
density v2 :4.0730959286734757e-013
density ln. v2 :-34.263866757887044
dist. expected v3 :6.825891395020574
density v3 :3.0437820008563661e-011
cum. density train v3 :8.7898573641886912e-008
cum. density test v3 :4.3949288652811447e-012
dist. expected v4 :6.7704000639933133
cum. density train v4 :1.2916555958142339e-007
cum. density test v4 :6.4582783565469981e-012
dist. expected v5 :6.7704000639933062
cum. density train v5 :1.2916555958142339e-007
cum. density test v5 :6.4582783565469981e-012
old
Show/Hide
confidence: 0.48771265149116516
confidence bounds at 95%: [ 0.44511681795120239 , 0.53030848503112793 ]
support: 0.075020842254161835
number of use :529
number of events to predict :3599
number of events predicted: 270
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :5.797094983744528
density v1 :2.0109094561182543e-008
cum. density train v1 :6.7680460405061815e-005
cum. density test v1 :3.3841375257637196e-009
density v2 :3.3076259251723347e-008
density ln. v2 :-24.29407700423511
dist. expected v3 :5.3630222646839316
density v3 :2.2663105752220974e-007
cum. density train v3 :0.0008198744131260316
cum. density test v3 :4.1010533857743781e-008
dist. expected v4 :5.3180169648772093
cum. density train v4 :0.0010507123285053988
cum. density test v4 :5.2563234320679442e-008
dist. expected v5 :5.3180169648772013
cum. density train v5 :0.0010507123285053988
cum. density test v5 :5.2563234320679442e-008
parentId:
512 [Interactive]
creation: Add condition [ gain:0.0092977330731004448 impList:2 first:1 loop:20 ]
number of condition: 3
score: -10.360682266564947
creation time: 5.5700000000000003
#id:546
a
← r (temp) [ -20 -7.0064999998547144 ]
( 14 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.51830440759658813 confidence bounds at 95%: [ 0.47531601786613464 , 0.56129276752471924 ] support: 0.079754598438739777 number of use :519 number of events to predict :3586 number of events predicted: 286 dataset range :99988.185138863177
OLD: confidence: 0.48771265149116516 confidence bounds at 95%: [ 0.44511681795120239 , 0.53030848503112793 ] support: 0.075020842254161835 number of use :529 number of events to predict :3599 number of events predicted: 270 dataset range :99936.387513848851
Add condition [ gain:0.0092977330731004448 impList:2 first:1 loop:20 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="546" score="-10.360682266564947" creationTime="5.5700000000000003" confidence = "0.51830440759658813" support = "0.079754598438739777" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "286" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.51830440759658813" basesupport = "0.079754598438739777" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "286" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.993500000145286" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.48771265149116516" oldsupport = "0.075020842254161835" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "270" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.993500000145286" testexpConfidence = "-1" testexpSupport = "-1" parentId="512" entropyGain="0.0092977330731004448" type="2" split="-1" gaussian="-1" impList="2" firstElement="1" loop="20" threathold="-1" >
<similarId>
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<i v="551" />
<i v="552" />
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<distribution_first>
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<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
120
similarId:
155 ,
158
base
Show/Hide
confidence: 0.50867050886154175
confidence bounds at 95%: [ 0.4656597375869751 , 0.5516812801361084 ]
support: 0.07612939178943634
number of use :519
number of events to predict :3586
number of events predicted: 273
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :3.3151904199848401
density v1 :0.0016381588936520903
cum. density train v1 :0.999894975637868
cum. density test v1 :0.00045796101454853577
density v2 :7.2901993319285859e-005
density ln. v2 :-15.843270164253807
dist. expected v3 :3.2241657338328209
density v3 :0.0022060297488502296
cum. density train v3 :0.99999675786050346
cum. density test v3 :0.00063176420828414681
dist. expected v4 :3.1896833379925251
cum. density train v4 :0.99999935191551403
cum. density test v4 :0.00071220849752262616
dist. expected v5 :3.1896833379925296
cum. density train v5 :0.99999935191551403
cum. density test v5 :0.00071220849752262616
old
Show/Hide
confidence: 0.45746693015098572
confidence bounds at 95%: [ 0.41501268744468689 , 0.49992117285728455 ]
support: 0.070297308266162872
number of use :529
number of events to predict :3599
number of events predicted: 253
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :0.91000895892306621
density v1 :0.2636858923635958
cum. density train v1 :1
cum. density test v1 :0.18140886709848725
density v2 :2.8770760206448158
density ln. v2 :-3.1312339752451526
dist. expected v3 :0.81821710705217554
density v3 :0.28545292480156037
cum. density train v3 :1
cum. density test v3 :0.20661655863949435
dist. expected v4 :0.80918438586338626
cum. density train v4 :1
cum. density test v4 :0.20920448952796089
dist. expected v5 :0.8091843858633857
cum. density train v5 :1
cum. density test v5 :0.209204489527961
parentId:
101 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.408182436088676
creation time: 4.2050000000000001
#id:120
a
← r (temp) [ -17.50124999997206 -5.5072499998379492 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
BASE: confidence: 0.50867050886154175 confidence bounds at 95%: [ 0.4656597375869751 , 0.5516812801361084 ] support: 0.07612939178943634 number of use :519 number of events to predict :3586 number of events predicted: 273 dataset range :99988.185138863177
OLD: confidence: 0.45746693015098572 confidence bounds at 95%: [ 0.41501268744468689 , 0.49992117285728455 ] support: 0.070297308266162872 number of use :529 number of events to predict :3599 number of events predicted: 253 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="120" score="-10.408182436088676" creationTime="4.2050000000000001" confidence = "0.50867050886154175" support = "0.07612939178943634" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "273" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.50867050886154175" basesupport = "0.07612939178943634" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "273" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.994000000134111" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.45746693015098572" oldsupport = "0.070297308266162872" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "253" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.994000000134111" testexpConfidence = "-1" testexpSupport = "-1" parentId="101" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<i v="158" />
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<distribution_first>
<values></values>
<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
331
similarId: *none*
base
Show/Hide
confidence: 0.65625
confidence bounds at 95%: [ 0.59405034780502319 , 0.71844965219497681 ]
support: 0.056887898594141006
number of use :224
number of events to predict :3586
number of events predicted: 204
dataset range :99988.185138863177
rule range :18.990500000212339
exp. confidence :0.49396249136343995
exp. support :0.041655332094502451
std. error exp. confidence :0.033405219631274331
std. error exp. support :0.0033364991873627804
dist. expected v1 :6.6666926530195001
density v1 :8.9093565727484109e-011
cum. density train v1 :2.6305176914487305e-007
cum. density test v1 :1.3152590128129305e-011
density v2 :0.00077882711563504847
density ln. v2 :-11.122758905591621
dist. expected v3 :4.8676389246244023
density v3 :2.8565587740002741e-006
cum. density train v3 :0.011245883696913817
cum. density test v3 :5.6547967863807003e-007
dist. expected v4 :4.852979763218336
cum. density train v4 :0.012104755399404588
cum. density test v4 :6.0893054398825086e-007
dist. expected v5 :4.8529797632183325
cum. density train v5 :0.012104755399404588
cum. density test v5 :6.0893054398825086e-007
old
Show/Hide
confidence: 0.63598328828811646
confidence bounds at 95%: [ 0.57498174905776978 , 0.69698482751846313 ]
support: 0.056960266083478928
number of use :239
number of events to predict :3599
number of events predicted: 205
dataset range :99936.387513848851
rule range :18.990500000212339
exp. confidence :0.4953893467247662
exp. support :0.044404431591103521
std. error exp. confidence :0.032340936264718109
std. error exp. support :0.0034336758800083281
dist. expected v1 :5.6806511741161527
density v1 :3.9229476774410268e-008
cum. density train v1 :0.00013455530242667546
cum. density test v1 :6.7282177607097537e-009
density v2 :0.0077575844252908057
density ln. v2 :-10.059878343398157
dist. expected v3 :4.3538254809547796
density v3 :3.0528902732051264e-005
cum. density train v3 :0.1253097383741798
cum. density test v3 :6.6942496936839291e-006
dist. expected v4 :4.3390280316234406
cum. density train v4 :0.13343888572574691
cum. density test v4 :7.1611064731413876e-006
dist. expected v5 :4.3390280316234424
cum. density train v5 :0.13343888572574691
cum. density test v5 :7.1611064731413876e-006
parentId:
311 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.43145311156697
creation time: 4.7530000000000001
#id:331
a
← j (temp) [ -20 -1.009499999787657 ]
( 8 11 8 13 0 5 5 6 5 8 0 14 4 7 9 5 6 8 10 7 0 0 0 0 0 0 0 0 0 0 10 13 7 15 11 0 0 18 )
← r (temp) [ -3.992000000178813 0.0099999997764825821 ]
( 15 29 14 23 17 30 26 22 )
BASE: confidence: 0.65625 confidence bounds at 95%: [ 0.59405034780502319 , 0.71844965219497681 ] support: 0.056887898594141006 number of use :224 number of events to predict :3586 number of events predicted: 204 dataset range :99988.185138863177
OLD: confidence: 0.63598328828811646 confidence bounds at 95%: [ 0.57498174905776978 , 0.69698482751846313 ] support: 0.056960266083478928 number of use :239 number of events to predict :3599 number of events predicted: 205 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="331" score="-10.43145311156697" creationTime="4.7530000000000001" confidence = "0.65625" support = "0.056887898594141006" number_of_use = "224" number_of_events_to_predict = "3586" number_of_events_predicted = "204" datasetrange = "99988.185138863177" rulerange = "18.990500000212339" expConfidence = "0.49396249136343995" expSupport = "0.041655332094502451" baseconfidence = "0.65625" basesupport = "0.056887898594141006" basenumber_of_use = "224" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "204" basedatasetrange = "99988.185138863177" baserulerange = "18.990500000212339" baseexpConfidence = "0.49396249136343995" baseexpSupport = "0.041655332094502451" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.990500000212343" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.63598328828811646" oldsupport = "0.056960266083478928" oldnumber_of_use = "239" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "205" olddatasetrange = "99936.387513848851" oldrulerange = "18.990500000212339" oldexpConfidence = "0.4953893467247662" oldexpSupport = "0.044404431591103521" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.990500000212343" testexpConfidence = "-1" testexpSupport = "-1" parentId="311" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
233
similarId: *none*
base
Show/Hide
confidence: 0.50289016962051392
confidence bounds at 95%: [ 0.45987367630004883 , 0.545906662940979 ]
support: 0.076687119901180267
number of use :519
number of events to predict :3586
number of events predicted: 275
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :4.040488573161908
density v1 :0.00011372668500502054
cum. density train v1 :0.41355228788838927
cum. density test v1 :2.6683232359880904e-005
density v2 :2.6981609281130781e-005
density ln. v2 :-17.853917676730788
dist. expected v3 :3.9487999431488414
density v3 :0.00016403199975589556
cum. density train v3 :0.54424218152386672
cum. density test v3 :3.9288913689650151e-005
dist. expected v4 :3.9100787712358742
cum. density train v4 :0.6026967878077335
cum. density test v4 :4.6151711533992668e-005
dist. expected v5 :3.9100787712358698
cum. density train v5 :0.6026967878077335
cum. density test v5 :4.6151711533992668e-005
old
Show/Hide
confidence: 0.45179584622383118
confidence bounds at 95%: [ 0.40938562154769897 , 0.49420607089996338 ]
support: 0.069463737308979034
number of use :529
number of events to predict :3599
number of events predicted: 250
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :1.6122360448716941
density v1 :0.10876223980708205
cum. density train v1 :1
cum. density test v1 :0.053455288086514008
density v2 :1.3553674166056879
density ln. v2 :-5.5011843400930571
dist. expected v3 :1.5322704674750913
density v3 :0.12333328844730168
cum. density train v3 :1
cum. density test v3 :0.062727873069760909
dist. expected v4 :1.5167610449605697
cum. density train v4 :1
cum. density test v4 :0.064663537635693658
dist. expected v5 :1.5167610449605671
cum. density train v5 :1
cum. density test v5 :0.064663537635694102
parentId:
201 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.439298444847221
creation time: 4.4969999999999999
#id:233
a
← r (temp) [ -17.00149999996647 -5.0074999998323619 ]
( 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.50289016962051392 confidence bounds at 95%: [ 0.45987367630004883 , 0.545906662940979 ] support: 0.076687119901180267 number of use :519 number of events to predict :3586 number of events predicted: 275 dataset range :99988.185138863177
OLD: confidence: 0.45179584622383118 confidence bounds at 95%: [ 0.40938562154769897 , 0.49420607089996338 ] support: 0.069463737308979034 number of use :529 number of events to predict :3599 number of events predicted: 250 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="233" score="-10.439298444847221" creationTime="4.4969999999999999" confidence = "0.50289016962051392" support = "0.076687119901180267" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "275" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.50289016962051392" basesupport = "0.076687119901180267" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "275" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.994000000134108" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.45179584622383118" oldsupport = "0.069463737308979034" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "250" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.994000000134108" testexpConfidence = "-1" testexpSupport = "-1" parentId="201" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
603
similarId: *none*
base
Show/Hide
confidence: 0.50867050886154175
confidence bounds at 95%: [ 0.4656597375869751 , 0.5516812801361084 ]
support: 0.07612939178943634
number of use :519
number of events to predict :3586
number of events predicted: 273
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :3.3151904199848401
density v1 :0.0016381588936520903
cum. density train v1 :0.999894975637868
cum. density test v1 :0.00045796101454853577
density v2 :7.2901993319285859e-005
density ln. v2 :-15.843270164253807
dist. expected v3 :3.2241657338328209
density v3 :0.0022060297488502296
cum. density train v3 :0.99999675786050346
cum. density test v3 :0.00063176420828414681
dist. expected v4 :3.1896833379925251
cum. density train v4 :0.99999935191551403
cum. density test v4 :0.00071220849752262616
dist. expected v5 :3.1896833379925296
cum. density train v5 :0.99999935191551403
cum. density test v5 :0.00071220849752262616
old
Show/Hide
confidence: 0.45746693015098572
confidence bounds at 95%: [ 0.41501268744468689 , 0.49992117285728455 ]
support: 0.070297308266162872
number of use :529
number of events to predict :3599
number of events predicted: 253
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :0.91000895892306621
density v1 :0.2636858923635958
cum. density train v1 :1
cum. density test v1 :0.18140886709848725
density v2 :2.8770760206448158
density ln. v2 :-3.1312339752451526
dist. expected v3 :0.81821710705217554
density v3 :0.28545292480156037
cum. density train v3 :1
cum. density test v3 :0.20661655863949435
dist. expected v4 :0.80918438586338626
cum. density train v4 :1
cum. density test v4 :0.20920448952796089
dist. expected v5 :0.8091843858633857
cum. density train v5 :1
cum. density test v5 :0.209204489527961
parentId:
584 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.448728948692436
creation time: 5.7130000000000001
#id:603
a
← r (temp) [ -17.50124999997206 -5.5072499998379492 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.50867050886154175 confidence bounds at 95%: [ 0.4656597375869751 , 0.5516812801361084 ] support: 0.07612939178943634 number of use :519 number of events to predict :3586 number of events predicted: 273 dataset range :99988.185138863177
OLD: confidence: 0.45746693015098572 confidence bounds at 95%: [ 0.41501268744468689 , 0.49992117285728455 ] support: 0.070297308266162872 number of use :529 number of events to predict :3599 number of events predicted: 253 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="603" score="-10.448728948692436" creationTime="5.7130000000000001" confidence = "0.50867050886154175" support = "0.07612939178943634" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "273" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.50867050886154175" basesupport = "0.07612939178943634" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "273" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.994000000134111" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.45746693015098572" oldsupport = "0.070297308266162872" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "253" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.994000000134111" testexpConfidence = "-1" testexpSupport = "-1" parentId="584" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
385
similarId: *none*
base
Show/Hide
confidence: 0.34053367376327515
confidence bounds at 95%: [ 0.30742475390434265 , 0.37364259362220764 ]
support: 0.075292803347110748
number of use :787
number of events to predict :3586
number of events predicted: 270
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :26.257329139832933
density v1 :7.7503943825107483e-151
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.0340639061436787e-082
density ln. v2 :-85.794036661335795
dist. expected v3 :19.351806649192547
density v3 :1.9094758846131796e-082
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :19.282152846612885
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :19.282152846612721
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.34101942181587219
confidence bounds at 95%: [ 0.30865123867988586 , 0.37338760495185852 ]
support: 0.083356484770774841
number of use :824
number of events to predict :3599
number of events predicted: 300
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :28.007789785341441
density v1 :1.8311936808743282e-171
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.0738445241163751e-083
density ln. v2 :-55.082883954341142
dist. expected v3 :19.860425355203766
density v3 :8.9148365106679842e-087
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :19.783646942028827
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :19.783646942029108
cum. density train v5 :0
cum. density test v5 :0
parentId:
379 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.466811944352809
creation time: 4.9329999999999998
#id:385
a
← r (temp) [ -3.5082499998155972 -1.009499999787657 ]
( 97 89 0 0 106 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.34053367376327515 confidence bounds at 95%: [ 0.30742475390434265 , 0.37364259362220764 ] support: 0.075292803347110748 number of use :787 number of events to predict :3586 number of events predicted: 270 dataset range :99988.185138863177
OLD: confidence: 0.34101942181587219 confidence bounds at 95%: [ 0.30865123867988586 , 0.37338760495185852 ] support: 0.083356484770774841 number of use :824 number of events to predict :3599 number of events predicted: 300 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="385" score="-10.466811944352809" creationTime="4.9329999999999998" confidence = "0.34053367376327515" support = "0.075292803347110748" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "270" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.34053367376327515" basesupport = "0.075292803347110748" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "270" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.4987500000279401" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.34101942181587219" oldsupport = "0.083356484770774841" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "300" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.4987500000279401" testexpConfidence = "-1" testexpSupport = "-1" parentId="379" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
434
similarId:
483
base
Show/Hide
confidence: 0.34053367376327515
confidence bounds at 95%: [ 0.30742475390434265 , 0.37364259362220764 ]
support: 0.075292803347110748
number of use :787
number of events to predict :3586
number of events predicted: 270
dataset range :99988.185138863177
rule range :4.4977500000502921
exp. confidence :0.1489734918855965
exp. support :0.03478294105612556
std. error exp. confidence :0.012692251716012746
std. error exp. support :0.003059782118249229
dist. expected v1 :20.076665428628722
density v1 :1.1880369031594057e-088
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.229933837537864e-050
density ln. v2 :-59.318627158865283
dist. expected v3 :15.067433631694701
density v3 :2.0067931369711877e-050
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :14.996406151810286
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :14.996406151810319
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.34101942181587219
confidence bounds at 95%: [ 0.30865123867988586 , 0.37338760495185852 ]
support: 0.083356484770774841
number of use :824
number of events to predict :3599
number of events predicted: 300
dataset range :99936.387513848851
rule range :4.4977500000502921
exp. confidence :0.14954238623096183
exp. support :0.036406626687261134
std. error exp. confidence :0.012423526311352722
std. error exp. support :0.0031220956148405505
dist. expected v1 :21.533302650745696
density v1 :8.1921749795890912e-102
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.0780304412164194e-050
density ln. v2 :-38.078367594694697
dist. expected v3 :15.466926445518167
density v3 :4.5048948945522819e-053
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :15.388641021345705
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :15.388641021345714
cum. density train v5 :0
cum. density test v5 :0
parentId:
416 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.466811944352809
creation time: 5.0999999999999996
#id:434
a
← r (temp) [ -3.5082499998155972 -1.009499999787657 ]
( 97 89 0 0 106 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
BASE: confidence: 0.34053367376327515 confidence bounds at 95%: [ 0.30742475390434265 , 0.37364259362220764 ] support: 0.075292803347110748 number of use :787 number of events to predict :3586 number of events predicted: 270 dataset range :99988.185138863177
OLD: confidence: 0.34101942181587219 confidence bounds at 95%: [ 0.30865123867988586 , 0.37338760495185852 ] support: 0.083356484770774841 number of use :824 number of events to predict :3599 number of events predicted: 300 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="434" score="-10.466811944352809" creationTime="5.0999999999999996" confidence = "0.34053367376327515" support = "0.075292803347110748" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "270" datasetrange = "99988.185138863177" rulerange = "4.4977500000502921" expConfidence = "0.1489734918855965" expSupport = "0.03478294105612556" baseconfidence = "0.34053367376327515" basesupport = "0.075292803347110748" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "270" basedatasetrange = "99988.185138863177" baserulerange = "4.4977500000502921" baseexpConfidence = "0.1489734918855965" baseexpSupport = "0.03478294105612556" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.4987500000279401" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.34101942181587219" oldsupport = "0.083356484770774841" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "300" olddatasetrange = "99936.387513848851" oldrulerange = "4.4977500000502921" oldexpConfidence = "0.14954238623096183" oldexpSupport = "0.036406626687261134" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.4987500000279401" testexpConfidence = "-1" testexpSupport = "-1" parentId="416" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="483" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="97"/><i v="89"/><i v="0"/><i v="0"/><i v="106"/></values>
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</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
649
similarId: *none*
base
Show/Hide
confidence: 0.50289016962051392
confidence bounds at 95%: [ 0.45987367630004883 , 0.545906662940979 ]
support: 0.076687119901180267
number of use :519
number of events to predict :3586
number of events predicted: 275
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :4.040488573161908
density v1 :0.00011372668500502054
cum. density train v1 :0.41355228788838927
cum. density test v1 :2.6683232359880904e-005
density v2 :2.6981609281130781e-005
density ln. v2 :-17.853917676730788
dist. expected v3 :3.9487999431488414
density v3 :0.00016403199975589556
cum. density train v3 :0.54424218152386672
cum. density test v3 :3.9288913689650151e-005
dist. expected v4 :3.9100787712358742
cum. density train v4 :0.6026967878077335
cum. density test v4 :4.6151711533992668e-005
dist. expected v5 :3.9100787712358698
cum. density train v5 :0.6026967878077335
cum. density test v5 :4.6151711533992668e-005
old
Show/Hide
confidence: 0.45179584622383118
confidence bounds at 95%: [ 0.40938562154769897 , 0.49420607089996338 ]
support: 0.069463737308979034
number of use :529
number of events to predict :3599
number of events predicted: 250
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :1.6122360448716941
density v1 :0.10876223980708205
cum. density train v1 :1
cum. density test v1 :0.053455288086514008
density v2 :1.3553674166056879
density ln. v2 :-5.5011843400930571
dist. expected v3 :1.5322704674750913
density v3 :0.12333328844730168
cum. density train v3 :1
cum. density test v3 :0.062727873069760909
dist. expected v4 :1.5167610449605697
cum. density train v4 :1
cum. density test v4 :0.064663537635693658
dist. expected v5 :1.5167610449605671
cum. density train v5 :1
cum. density test v5 :0.064663537635694102
parentId:
617 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.479844957450981
creation time: 5.8390000000000004
#id:649
a
← r (temp) [ -17.00149999996647 -5.0074999998323619 ]
( 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.50289016962051392 confidence bounds at 95%: [ 0.45987367630004883 , 0.545906662940979 ] support: 0.076687119901180267 number of use :519 number of events to predict :3586 number of events predicted: 275 dataset range :99988.185138863177
OLD: confidence: 0.45179584622383118 confidence bounds at 95%: [ 0.40938562154769897 , 0.49420607089996338 ] support: 0.069463737308979034 number of use :529 number of events to predict :3599 number of events predicted: 250 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="649" score="-10.479844957450981" creationTime="5.8390000000000004" confidence = "0.50289016962051392" support = "0.076687119901180267" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "275" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.50289016962051392" basesupport = "0.076687119901180267" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "275" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.994000000134108" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.45179584622383118" oldsupport = "0.069463737308979034" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "250" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.994000000134108" testexpConfidence = "-1" testexpSupport = "-1" parentId="617" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
262
similarId:
265
base
Show/Hide
confidence: 0.49710983037948608
confidence bounds at 95%: [ 0.454093337059021 , 0.54012632369995117 ]
support: 0.074456214904785156
number of use :519
number of events to predict :3586
number of events predicted: 267
dataset range :99988.185138863177
rule range :15.492250000173231
exp. confidence :0.42630694830917171
exp. support :0.07727175046923429
std. error exp. confidence :0.021707875475812845
std. error exp. support :0.0044590479354880358
dist. expected v1 :3.2616219007338478
density v1 :0.00195370590699875
cum. density train v1 :0.9999846126483326
cum. density test v1 :0.00055394475123815567
density v2 :0.00027038303514239731
density ln. v2 :-14.804749599360296
dist. expected v3 :3.1763171849763947
density v3 :0.0025710678436860275
cum. density train v3 :0.99999966949645602
cum. density test v3 :0.00074585413515682042
dist. expected v4 :3.1437725766691593
cum. density train v4 :0.99999994337371878
cum. density test v4 :0.00083399166685227399
dist. expected v5 :3.1437725766691687
cum. density train v5 :0.99999994337371878
cum. density test v5 :0.00083399166685227399
old
Show/Hide
confidence: 0.44045367836952209
confidence bounds at 95%: [ 0.39814823865890503 , 0.48275911808013916 ]
support: 0.06585162878036499
number of use :529
number of events to predict :3599
number of events predicted: 237
dataset range :99936.387513848851
rule range :15.492250000173231
exp. confidence :0.42762690379987212
exp. support :0.078739580774717099
std. error exp. confidence :0.021510191673586216
std. error exp. support :0.004489488176044055
dist. expected v1 :0.59631149569907471
density v1 :0.33396060797481047
cum. density train v1 :1
cum. density test v1 :0.27548352974580781
density v2 :2.5019367779162982
density ln. v2 :-2.1187962122656203
dist. expected v3 :0.49749620288393565
density v3 :0.35250524791213311
cum. density train v3 :1
cum. density test v3 :0.30941958985481233
dist. expected v4 :0.49223459527026486
cum. density train v4 :1
cum. density test v4 :0.31127675805087263
dist. expected v5 :0.49223459527026486
cum. density train v5 :1
cum. density test v5 :0.31127675805087263
parentId:
241 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.502026382308308
creation time: 4.577
#id:262
a
← r (temp) [ -18.000999999977651 -6.5067499998491254 ]
( 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 35 33 25 24 36 34 33 31 31 30 )
BASE: confidence: 0.49710983037948608 confidence bounds at 95%: [ 0.454093337059021 , 0.54012632369995117 ] support: 0.074456214904785156 number of use :519 number of events to predict :3586 number of events predicted: 267 dataset range :99988.185138863177
OLD: confidence: 0.44045367836952209 confidence bounds at 95%: [ 0.39814823865890503 , 0.48275911808013916 ] support: 0.06585162878036499 number of use :529 number of events to predict :3599 number of events predicted: 237 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="262" score="-10.502026382308308" creationTime="4.577" confidence = "0.49710983037948608" support = "0.074456214904785156" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "267" datasetrange = "99988.185138863177" rulerange = "15.492250000173231" expConfidence = "0.42630694830917171" expSupport = "0.07727175046923429" baseconfidence = "0.49710983037948608" basesupport = "0.074456214904785156" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "267" basedatasetrange = "99988.185138863177" baserulerange = "15.492250000173231" baseexpConfidence = "0.42630694830917171" baseexpSupport = "0.07727175046923429" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.494250000128526" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.44045367836952209" oldsupport = "0.06585162878036499" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "237" olddatasetrange = "99936.387513848851" oldrulerange = "15.492250000173231" oldexpConfidence = "0.42762690379987212" oldexpSupport = "0.078739580774717099" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.494250000128526" testexpConfidence = "-1" testexpSupport = "-1" parentId="241" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="265" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/></bounds>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
160
similarId: *none*
base
Show/Hide
confidence: 0.49710983037948608
confidence bounds at 95%: [ 0.454093337059021 , 0.54012632369995117 ]
support: 0.074456214904785156
number of use :519
number of events to predict :3586
number of events predicted: 267
dataset range :99988.185138863177
rule range :14.492750000162051
exp. confidence :0.40536594600772557
exp. support :0.07247145874086236
std. error exp. confidence :0.021550871653530642
std. error exp. support :0.0043295424295029259
dist. expected v1 :4.2816959200424884
density v1 :4.1683778524124779e-005
cum. density train v1 :0.16939824255368219
cum. density test v1 :9.28019853430051e-006
density v2 :3.5564907729352965e-006
density ln. v2 :-19.901228042971027
dist. expected v3 :4.1827981588417167
density v3 :6.3349803563840623e-005
cum. density train v3 :0.25032909484868437
cum. density test v3 :1.4405944327444686e-005
dist. expected v4 :4.1435877804949781
cum. density train v4 :0.28973320959047355
cum. density test v4 :1.7105584617205238e-005
dist. expected v5 :4.1435877804949666
cum. density train v5 :0.28973320959047355
cum. density test v5 :1.7105584617205238e-005
old
Show/Hide
confidence: 0.43856331706047058
confidence bounds at 95%: [ 0.39627748727798462 , 0.48084914684295654 ]
support: 0.067518755793571472
number of use :529
number of events to predict :3599
number of events predicted: 243
dataset range :99936.387513848851
rule range :14.492750000162051
exp. confidence :0.40664590364355047
exp. support :0.073851797522660467
std. error exp. confidence :0.021356856882614576
std. error exp. support :0.0043594314795037245
dist. expected v1 :1.494480840151263
density v1 :0.13059229980881609
cum. density train v1 :1
cum. density test v1 :0.067525024329176508
density v2 :3.6524165042010854
density ln. v2 :-4.7409650505716288
dist. expected v3 :1.4202114563658699
density v3 :0.14552042508944879
cum. density train v3 :1
cum. density test v3 :0.077773114968758383
dist. expected v4 :1.4064689130990462
cum. density train v4 :1
cum. density test v4 :0.079792517948440889
dist. expected v5 :1.4064689130990498
cum. density train v5 :1
cum. density test v5 :0.079792517948440445
parentId:
134 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.502026382308308
creation time: 4.2930000000000001
#id:160
a
← r (temp) [ -17.00149999996647 -5.5072499998379492 ]
( 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 32 25 23 35 34 32 31 30 30 )
BASE: confidence: 0.49710983037948608 confidence bounds at 95%: [ 0.454093337059021 , 0.54012632369995117 ] support: 0.074456214904785156 number of use :519 number of events to predict :3586 number of events predicted: 267 dataset range :99988.185138863177
OLD: confidence: 0.43856331706047058 confidence bounds at 95%: [ 0.39627748727798462 , 0.48084914684295654 ] support: 0.067518755793571472 number of use :529 number of events to predict :3599 number of events predicted: 243 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="160" score="-10.502026382308308" creationTime="4.2930000000000001" confidence = "0.49710983037948608" support = "0.074456214904785156" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "267" datasetrange = "99988.185138863177" rulerange = "14.492750000162051" expConfidence = "0.40536594600772557" expSupport = "0.07247145874086236" baseconfidence = "0.49710983037948608" basesupport = "0.074456214904785156" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "267" basedatasetrange = "99988.185138863177" baserulerange = "14.492750000162051" baseexpConfidence = "0.40536594600772557" baseexpSupport = "0.07247145874086236" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.49425000012852" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43856331706047058" oldsupport = "0.067518755793571472" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "243" olddatasetrange = "99936.387513848851" oldrulerange = "14.492750000162051" oldexpConfidence = "0.40664590364355047" oldexpSupport = "0.073851797522660467" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.49425000012852" testexpConfidence = "-1" testexpSupport = "-1" parentId="134" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="16"/><i v="18"/><i v="9"/><i v="16"/><i v="16"/><i v="16"/><i v="10"/><i v="21"/><i v="13"/><i v="9"/><i v="17"/><i v="9"/><i v="9"/><i v="18"/><i v="17"/><i v="12"/><i v="17"/><i v="12"/><i v="9"/><i v="16"/><i v="14"/><i v="13"/><i v="13"/></values>
<bounds><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="33"/><i v="32"/><i v="25"/><i v="23"/><i v="35"/><i v="34"/><i v="32"/><i v="31"/><i v="30"/><i v="30"/></values>
<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
256
similarId: *none*
base
Show/Hide
confidence: 0.51637762784957886
confidence bounds at 95%: [ 0.47338348627090454 , 0.55937176942825317 ]
support: 0.077523700892925262
number of use :519
number of events to predict :3586
number of events predicted: 278
dataset range :99988.185138863177
rule range :15.492250000173231
exp. confidence :0.42630694830917171
exp. support :0.07727175046923429
std. error exp. confidence :0.021707875475812845
std. error exp. support :0.0044590479354880358
dist. expected v1 :4.149601410977998
density v1 :7.2746157716567655e-005
cum. density train v1 :0.28341012827757195
cum. density test v1 :1.6662441580272969e-005
density v2 :1.1424768455696424e-006
density ln. v2 :-20.728928086818382
dist. expected v3 :4.0657330902421345
density v3 :0.00010266581966083941
cum. density train v3 :0.38064080412212442
cum. density test v3 :2.3953207640592389e-005
dist. expected v4 :4.0240755090882292
cum. density train v4 :0.4357630782417895
cum. density test v4 :2.8613642704455877e-005
dist. expected v5 :4.0240755090882407
cum. density train v5 :0.4357630782417895
cum. density test v5 :2.8613642704455877e-005
old
Show/Hide
confidence: 0.44234403967857361
confidence bounds at 95%: [ 0.40001958608627319 , 0.48466849327087402 ]
support: 0.072520144283771515
number of use :529
number of events to predict :3599
number of events predicted: 261
dataset range :99936.387513848851
rule range :15.492250000173231
exp. confidence :0.42762690379987212
exp. support :0.078739580774717099
std. error exp. confidence :0.021510191673586216
std. error exp. support :0.004489488176044055
dist. expected v1 :0.68419361863584116
density v1 :0.31568860227476908
cum. density train v1 :1
cum. density test v1 :0.24692638796794197
density v2 :123.95406857493634
density ln. v2 :-1.4843679181304599
dist. expected v3 :0.62812402285897151
density v3 :0.32751925647090607
cum. density train v3 :1
cum. density test v3 :0.26496129158303572
dist. expected v4 :0.62148087237491578
cum. density train v4 :1
cum. density test v4 :0.26714158288747147
dist. expected v5 :0.62148087237491578
cum. density train v5 :1
cum. density test v5 :0.26714158288747147
parentId:
241 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.534875658575981
creation time: 4.569
#id:256
a
← r (temp) [ -19.500249999994409 -4.5077499998267747 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 0 0 17 9 9 18 0 12 17 12 0 0 14 13 13 0 15 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 35 33 25 24 36 34 33 31 31 30 )
BASE: confidence: 0.51637762784957886 confidence bounds at 95%: [ 0.47338348627090454 , 0.55937176942825317 ] support: 0.077523700892925262 number of use :519 number of events to predict :3586 number of events predicted: 278 dataset range :99988.185138863177
OLD: confidence: 0.44234403967857361 confidence bounds at 95%: [ 0.40001958608627319 , 0.48466849327087402 ] support: 0.072520144283771515 number of use :529 number of events to predict :3599 number of events predicted: 261 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="256" score="-10.534875658575981" creationTime="4.569" confidence = "0.51637762784957886" support = "0.077523700892925262" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "278" datasetrange = "99988.185138863177" rulerange = "15.492250000173231" expConfidence = "0.42630694830917171" expSupport = "0.07727175046923429" baseconfidence = "0.51637762784957886" basesupport = "0.077523700892925262" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "278" basedatasetrange = "99988.185138863177" baserulerange = "15.492250000173231" baseexpConfidence = "0.42630694830917171" baseexpSupport = "0.07727175046923429" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.992500000167635" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.44234403967857361" oldsupport = "0.072520144283771515" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "261" olddatasetrange = "99936.387513848851" oldrulerange = "15.492250000173231" oldexpConfidence = "0.42762690379987212" oldexpSupport = "0.078739580774717099" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.992500000167635" testexpConfidence = "-1" testexpSupport = "-1" parentId="241" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
563
similarId: *none*
base
Show/Hide
confidence: 0.49710983037948608
confidence bounds at 95%: [ 0.454093337059021 , 0.54012632369995117 ]
support: 0.075850531458854675
number of use :519
number of events to predict :3586
number of events predicted: 272
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :6.4117779751973734
density v1 :4.7183728034276656e-010
cum. density train v1 :1.4450430463330832e-006
cum. density test v1 :7.2252204219580562e-011
density v2 :1.7331817377769874e-009
density ln. v2 :-26.833391123964418
dist. expected v3 :5.8216024255781837
density v3 :1.7440583979666491e-008
cum. density train v3 :5.8468399789513015e-005
cum. density test v3 :2.9235054377352299e-009
dist. expected v4 :5.7742754980588691
cum. density train v4 :7.7517598638943142e-005
cum. density test v4 :3.8760301634965799e-009
dist. expected v5 :5.7742754980588629
cum. density train v5 :7.7517598638943142e-005
cum. density test v5 :3.8760301634965799e-009
old
Show/Hide
confidence: 0.45368620753288269
confidence bounds at 95%: [ 0.4112606942653656 , 0.49611172080039978 ]
support: 0.069741591811180115
number of use :529
number of events to predict :3599
number of events predicted: 251
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :3.8822071753441585
density v1 :0.00021289641835239617
cum. density train v1 :0.64497034997395075
cum. density test v1 :5.1776358147792578e-005
density v2 :0.001512249894840692
density ln. v2 :-13.994749957402712
dist. expected v3 :3.7434662412906321
density v3 :0.00036133383254704663
cum. density train v3 :0.83726407387468926
cum. density test v3 :9.0777203352931934e-005
dist. expected v4 :3.7120518983715174
cum. density train v4 :0.87210644171548146
cum. density test v4 :0.00010282256024396474
dist. expected v5 :3.7120518983715121
cum. density train v5 :0.87210644171548146
cum. density test v5 :0.00010282256024396474
parentId:
546 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.548025995353813
creation time: 5.6029999999999998
#id:563
a
← r (temp) [ -19.000499999988829 -7.0064999998547144 ]
( 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.49710983037948608 confidence bounds at 95%: [ 0.454093337059021 , 0.54012632369995117 ] support: 0.075850531458854675 number of use :519 number of events to predict :3586 number of events predicted: 272 dataset range :99988.185138863177
OLD: confidence: 0.45368620753288269 confidence bounds at 95%: [ 0.4112606942653656 , 0.49611172080039978 ] support: 0.069741591811180115 number of use :529 number of events to predict :3599 number of events predicted: 251 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="563" score="-10.548025995353813" creationTime="5.6029999999999998" confidence = "0.49710983037948608" support = "0.075850531458854675" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "272" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.49710983037948608" basesupport = "0.075850531458854675" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "272" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.994000000134115" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.45368620753288269" oldsupport = "0.069741591811180115" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "251" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.994000000134115" testexpConfidence = "-1" testexpSupport = "-1" parentId="546" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
291
similarId: *none*
base
Show/Hide
confidence: 0.50674372911453247
confidence bounds at 95%: [ 0.46373042464256287 , 0.54975706338882446 ]
support: 0.075292803347110748
number of use :519
number of events to predict :3586
number of events predicted: 270
dataset range :99988.185138863177
rule range :13.99300000015646
exp. confidence :0.39461060017506044
exp. support :0.070061974395799642
std. error exp. confidence :0.021454485336386147
std. error exp. support :0.0042624867953882789
dist. expected v1 :5.3686946293202613
density v1 :2.1983698453292111e-007
cum. density train v1 :0.00079452417484149329
cum. density test v1 :3.9741998025810688e-008
density v2 :3.6206310490634922e-009
density ln. v2 :-26.89520944760211
dist. expected v3 :5.153888767547202
density v3 :6.8064616499636311e-007
cum. density train v3 :0.0025527977729417062
cum. density test v3 :1.2780307767634724e-007
dist. expected v4 :5.1077560747101725
cum. density train v4 :0.0032604600614634105
cum. density test v4 :1.632893338321395e-007
dist. expected v5 :5.1077560747101769
cum. density train v5 :0.0032604600614634105
cum. density test v5 :1.632893338321395e-007
old
Show/Hide
confidence: 0.4555765688419342
confidence bounds at 95%: [ 0.41313636302947998 , 0.49801677465438843 ]
support: 0.072520144283771515
number of use :529
number of events to predict :3599
number of events predicted: 261
dataset range :99936.387513848851
rule range :13.99300000015646
exp. confidence :0.39586881724568057
exp. support :0.071398208288108167
std. error exp. confidence :0.021262456452656377
std. error exp. support :0.004292076875711516
dist. expected v1 :2.8202703882951554
density v1 :0.0074771687743371562
cum. density train v1 :1
cum. density test v1 :0.0023992220606030568
density v2 :0.35087906668891827
density ln. v2 :-8.4882079531651105
dist. expected v3 :2.7563365488747018
density v3 :0.0089362957746932006
cum. density train v3 :1
cum. density test v3 :0.0029226971213791586
dist. expected v4 :2.7308688949796709
cum. density train v4 :1
cum. density test v4 :0.0031584330259496474
dist. expected v5 :2.7308688949796633
cum. density train v5 :1
cum. density test v5 :0.0031584330259497584
parentId:
280 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.563245077610539
creation time: 4.6529999999999996
#id:291
a
← r (temp) [ -19.500249999994409 -6.0069999998435382 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 0 12 17 12 0 0 14 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 31 24 22 34 31 32 29 29 30 )
BASE: confidence: 0.50674372911453247 confidence bounds at 95%: [ 0.46373042464256287 , 0.54975706338882446 ] support: 0.075292803347110748 number of use :519 number of events to predict :3586 number of events predicted: 270 dataset range :99988.185138863177
OLD: confidence: 0.4555765688419342 confidence bounds at 95%: [ 0.41313636302947998 , 0.49801677465438843 ] support: 0.072520144283771515 number of use :529 number of events to predict :3599 number of events predicted: 261 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="291" score="-10.563245077610539" creationTime="4.6529999999999996" confidence = "0.50674372911453247" support = "0.075292803347110748" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "270" datasetrange = "99988.185138863177" rulerange = "13.99300000015646" expConfidence = "0.39461060017506044" expSupport = "0.070061974395799642" baseconfidence = "0.50674372911453247" basesupport = "0.075292803347110748" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "270" basedatasetrange = "99988.185138863177" baserulerange = "13.99300000015646" baseexpConfidence = "0.39461060017506044" baseexpSupport = "0.070061974395799642" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.493250000150871" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4555765688419342" oldsupport = "0.072520144283771515" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "261" olddatasetrange = "99936.387513848851" oldrulerange = "13.99300000015646" oldexpConfidence = "0.39586881724568057" oldexpSupport = "0.071398208288108167" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.493250000150871" testexpConfidence = "-1" testexpSupport = "-1" parentId="280" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
330
similarId: *none*
base
Show/Hide
confidence: 0.64732140302658081
confidence bounds at 95%: [ 0.58474916219711304 , 0.70989364385604858 ]
support: 0.054378136992454529
number of use :224
number of events to predict :3586
number of events predicted: 195
dataset range :99988.185138863177
rule range :18.990500000212339
exp. confidence :0.49396249136343995
exp. support :0.041655332094502451
std. error exp. confidence :0.033405219631274331
std. error exp. support :0.0033364991873627804
dist. expected v1 :5.9679731023742031
density v1 :7.3593810181608709e-009
cum. density train v1 :2.41057756102947e-005
cum. density test v1 :1.2053033016101722e-009
density v2 :0.001314961443778266
density ln. v2 :-11.900742341429355
dist. expected v3 :4.5967214654733315
density v3 :1.0294892610411054e-005
cum. density train v3 :0.042053572078039614
cum. density test v3 :2.1481688589064518e-006
dist. expected v4 :4.5828781868438879
cum. density train v4 :0.044870709562262689
cum. density test v4 :2.2954256159168906e-006
dist. expected v5 :4.5828781868438844
cum. density train v5 :0.044870709562262689
cum. density test v5 :2.2954256159168906e-006
old
Show/Hide
confidence: 0.61506277322769165
confidence bounds at 95%: [ 0.55337321758270264 , 0.67675232887268066 ]
support: 0.053070295602083206
number of use :239
number of events to predict :3599
number of events predicted: 191
dataset range :99936.387513848851
rule range :18.990500000212339
exp. confidence :0.4953893467247662
exp. support :0.044404431591103521
std. error exp. confidence :0.032340936264718109
std. error exp. support :0.0034336758800083281
dist. expected v1 :4.47908856283399
density v1 :1.7557037170269543e-005
cum. density train v1 :0.072284259663904504
cum. density test v1 :3.7514883337586014e-006
density v2 :0.078699605208887649
density ln. v2 :-9.0085834584491717
dist. expected v3 :3.7018390867004713
density v3 :0.0004218989004108961
cum. density train v3 :0.88247969541359639
cum. density test v3 :0.00010705147734846321
dist. expected v4 :3.6892575589020233
cum. density train v4 :0.89458423693790889
cum. density test v4 :0.00011248582796419271
dist. expected v5 :3.6892575589020247
cum. density train v5 :0.89458423693790889
cum. density test v5 :0.00011248582796419271
parentId:
311 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.576488855280349
creation time: 4.7489999999999997
#id:330
a
← j (temp) [ -20 -1.009499999787657 ]
( 8 11 8 13 0 5 0 6 0 8 0 14 4 7 9 5 6 8 10 7 0 0 0 0 0 0 0 0 0 0 10 13 7 15 11 0 0 18 )
← r (temp) [ -3.992000000178813 0.0099999997764825821 ]
( 15 29 14 23 17 30 26 22 )
BASE: confidence: 0.64732140302658081 confidence bounds at 95%: [ 0.58474916219711304 , 0.70989364385604858 ] support: 0.054378136992454529 number of use :224 number of events to predict :3586 number of events predicted: 195 dataset range :99988.185138863177
OLD: confidence: 0.61506277322769165 confidence bounds at 95%: [ 0.55337321758270264 , 0.67675232887268066 ] support: 0.053070295602083206 number of use :239 number of events to predict :3599 number of events predicted: 191 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="330" score="-10.576488855280349" creationTime="4.7489999999999997" confidence = "0.64732140302658081" support = "0.054378136992454529" number_of_use = "224" number_of_events_to_predict = "3586" number_of_events_predicted = "195" datasetrange = "99988.185138863177" rulerange = "18.990500000212339" expConfidence = "0.49396249136343995" expSupport = "0.041655332094502451" baseconfidence = "0.64732140302658081" basesupport = "0.054378136992454529" basenumber_of_use = "224" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "195" basedatasetrange = "99988.185138863177" baserulerange = "18.990500000212339" baseexpConfidence = "0.49396249136343995" baseexpSupport = "0.041655332094502451" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.990500000212343" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.61506277322769165" oldsupport = "0.053070295602083206" oldnumber_of_use = "239" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "191" olddatasetrange = "99936.387513848851" oldrulerange = "18.990500000212339" oldexpConfidence = "0.4953893467247662" oldexpSupport = "0.044404431591103521" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.990500000212343" testexpConfidence = "-1" testexpSupport = "-1" parentId="311" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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<distribution_first>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
703
similarId:
706 ,
709 ,
712
base
Show/Hide
confidence: 0.46399998664855957
confidence bounds at 95%: [ 0.42490172386169434 , 0.5030982494354248 ]
support: 0.097601786255836487
number of use :625
number of events to predict :3586
number of events predicted: 350
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :51.515385634011686
density ln. v2 :2.3957190031785878
dist. expected v3 :-2.4875185526287167
density v3 :0.018082461144368154
cum. density train v3 :1
cum. density test v3 :0.99356810061303114
dist. expected v4 :-2.4383887811527187
cum. density train v4 :1
cum. density test v4 :0.99262354946856424
dist. expected v5 :-2.4383887811527258
cum. density train v5 :1
cum. density test v5 :0.99262354946856424
old
Show/Hide
confidence: 0.4834054708480835
confidence bounds at 95%: [ 0.44619885087013245 , 0.52061206102371216 ]
support: 0.10891914367675781
number of use :693
number of events to predict :3599
number of events predicted: 392
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :74.830609389059234
density ln. v2 :2.9496440889974691
dist. expected v3 :-1.7155993548795863
density v3 :0.091576635899510636
cum. density train v3 :1
cum. density test v3 :0.95688233516935539
dist. expected v4 :-1.6758479401827384
cum. density train v4 :1
cum. density test v4 :0.9531160322632497
dist. expected v5 :-1.6758479401827324
cum. density train v5 :1
cum. density test v5 :0.95311603226324915
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.59737705771014
creation time: 5.9950000000000001
#id:703
a
← r (temp) [ -20 -3.5082499998155972 ]
( 11 4 18 8 17 6 8 16 10 12 8 11 21 14 11 11 16 12 8 11 16 13 5 12 10 10 6 6 10 7 11 16 39 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.46399998664855957 confidence bounds at 95%: [ 0.42490172386169434 , 0.5030982494354248 ] support: 0.097601786255836487 number of use :625 number of events to predict :3586 number of events predicted: 350 dataset range :99988.185138863177
OLD: confidence: 0.4834054708480835 confidence bounds at 95%: [ 0.44619885087013245 , 0.52061206102371216 ] support: 0.10891914367675781 number of use :693 number of events to predict :3599 number of events predicted: 392 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="703" score="-10.59737705771014" creationTime="5.9950000000000001" confidence = "0.46399998664855957" support = "0.097601786255836487" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "350" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.46399998664855957" basesupport = "0.097601786255836487" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "350" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "16.491750000184403" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4834054708480835" oldsupport = "0.10891914367675781" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "392" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "16.491750000184403" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<i v="709" />
<i v="712" />
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<distribution_first>
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<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
325
similarId: *none*
base
Show/Hide
confidence: 0.63392859697341919
confidence bounds at 95%: [ 0.57084226608276367 , 0.69701492786407471 ]
support: 0.056051310151815414
number of use :224
number of events to predict :3586
number of events predicted: 201
dataset range :99988.185138863177
rule range :18.990500000212339
exp. confidence :0.49396249136343995
exp. support :0.041655332094502451
std. error exp. confidence :0.033405219631274331
std. error exp. support :0.0033364991873627804
dist. expected v1 :6.0143374244743448
density v1 :5.5744852209046432e-009
cum. density train v1 :1.8127575119430972e-005
cum. density test v1 :9.063869654823975e-010
density v2 :0.078457501392290754
density ln. v2 :-6.0176999193582645
dist. expected v3 :4.200476710258096
density v3 :5.882516432409267e-005
cum. density train v3 :0.23396091118840578
cum. density test v3 :1.3326015246062362e-005
dist. expected v4 :4.1878267444262836
cum. density train v4 :0.24558570499933652
cum. density test v4 :1.4090580677250664e-005
dist. expected v5 :4.1878267444262809
cum. density train v5 :0.24558570499933652
cum. density test v5 :1.4090580677250664e-005
old
Show/Hide
confidence: 0.63598328828811646
confidence bounds at 95%: [ 0.57498174905776978 , 0.69698482751846313 ]
support: 0.060016673058271408
number of use :239
number of events to predict :3599
number of events predicted: 216
dataset range :99936.387513848851
rule range :18.990500000212339
exp. confidence :0.4953893467247662
exp. support :0.044404431591103521
std. error exp. confidence :0.032340936264718109
std. error exp. support :0.0034336758800083281
dist. expected v1 :6.2906224875958658
density v1 :1.0185312748809524e-009
cum. density train v1 :3.1756635857638216e-006
cum. density test v1 :1.5878343084807511e-010
density v2 :0.040949287383648135
density ln. v2 :-6.1902798757829469
dist. expected v3 :4.3600738064952367
density v3 :2.9709005808389207e-005
cum. density train v3 :0.12200966205626684
cum. density test v3 :6.5059633375108561e-006
dist. expected v4 :4.3452551208325385
cum. density train v4 :0.12996345595525061
cum. density test v4 :6.9609789505875597e-006
dist. expected v5 :4.3452551208325403
cum. density train v5 :0.12996345595525061
cum. density test v5 :6.9609789505875597e-006
parentId:
311 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.599504831232498
creation time: 4.7450000000000001
#id:325
a
← j (temp) [ -20 -1.009499999787657 ]
( 8 11 8 13 9 5 5 6 5 8 2 14 4 7 9 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 7 15 11 12 15 18 )
← r (temp) [ -3.992000000178813 0.0099999997764825821 ]
( 15 29 14 23 17 30 26 22 )
BASE: confidence: 0.63392859697341919 confidence bounds at 95%: [ 0.57084226608276367 , 0.69701492786407471 ] support: 0.056051310151815414 number of use :224 number of events to predict :3586 number of events predicted: 201 dataset range :99988.185138863177
OLD: confidence: 0.63598328828811646 confidence bounds at 95%: [ 0.57498174905776978 , 0.69698482751846313 ] support: 0.060016673058271408 number of use :239 number of events to predict :3599 number of events predicted: 216 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="325" score="-10.599504831232498" creationTime="4.7450000000000001" confidence = "0.63392859697341919" support = "0.056051310151815414" number_of_use = "224" number_of_events_to_predict = "3586" number_of_events_predicted = "201" datasetrange = "99988.185138863177" rulerange = "18.990500000212339" expConfidence = "0.49396249136343995" expSupport = "0.041655332094502451" baseconfidence = "0.63392859697341919" basesupport = "0.056051310151815414" basenumber_of_use = "224" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "201" basedatasetrange = "99988.185138863177" baserulerange = "18.990500000212339" baseexpConfidence = "0.49396249136343995" baseexpSupport = "0.041655332094502451" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "18.990500000212343" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.63598328828811646" oldsupport = "0.060016673058271408" oldnumber_of_use = "239" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "216" olddatasetrange = "99936.387513848851" oldrulerange = "18.990500000212339" oldexpConfidence = "0.4953893467247662" oldexpSupport = "0.044404431591103521" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "18.990500000212343" testexpConfidence = "-1" testexpSupport = "-1" parentId="311" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="15"/><i v="29"/><i v="14"/><i v="23"/><i v="17"/><i v="30"/><i v="26"/><i v="22"/></values>
<bounds><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
228
similarId:
267 ,
297 ,
299 ,
302
base
Show/Hide
confidence: 0.48940271139144897
confidence bounds at 95%: [ 0.4463951587677002 , 0.53241026401519775 ]
support: 0.073061905801296234
number of use :519
number of events to predict :3586
number of events predicted: 262
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :3.3959834756253717
density v1 :0.0012491519267002252
cum. density train v1 :0.99893038405228762
cum. density test v1 :0.00034196429799182582
density v2 :0.00024182403859291659
density ln. v2 :-15.174984284630751
dist. expected v3 :3.3144304375190559
density v3 :0.0016422909424772261
cum. density train v3 :0.9998975628874418
cum. density test v3 :0.00045920760608286759
dist. expected v4 :3.2819297708323538
cum. density train v4 :0.99996682712396012
cum. density test v4 :0.00051555595546814992
dist. expected v5 :3.2819297708323503
cum. density train v5 :0.99996682712396012
cum. density test v5 :0.00051555595546814992
old
Show/Hide
confidence: 0.44990548491477966
confidence bounds at 95%: [ 0.40751117467880249 , 0.49229979515075684 ]
support: 0.068352319300174713
number of use :529
number of events to predict :3599
number of events predicted: 246
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :1.52406293034439
density v1 :0.12488993606601609
cum. density train v1 :1
cum. density test v1 :0.063746518545467423
density v2 :0.93414434127021506
density ln. v2 :-5.4235379583725551
dist. expected v3 :1.438503376828745
density v3 :0.14176500086313393
cum. density train v3 :1
cum. density test v3 :0.075145686052294214
dist. expected v4 :1.423943051394446
cum. density train v4 :1
cum. density test v4 :0.077231528469384858
dist. expected v5 :1.4239430513944433
cum. density train v5 :1
cum. density test v5 :0.077231528469385191
parentId:
201 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.602336707930867
creation time: 4.4829999999999997
#id:228
a
← r (temp) [ -17.50124999997206 -6.0069999998435382 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.48940271139144897 confidence bounds at 95%: [ 0.4463951587677002 , 0.53241026401519775 ] support: 0.073061905801296234 number of use :519 number of events to predict :3586 number of events predicted: 262 dataset range :99988.185138863177
OLD: confidence: 0.44990548491477966 confidence bounds at 95%: [ 0.40751117467880249 , 0.49229979515075684 ] support: 0.068352319300174713 number of use :529 number of events to predict :3599 number of events predicted: 246 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="228" score="-10.602336707930867" creationTime="4.4829999999999997" confidence = "0.48940271139144897" support = "0.073061905801296234" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "262" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.48940271139144897" basesupport = "0.073061905801296234" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "262" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.494250000128522" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.44990548491477966" oldsupport = "0.068352319300174713" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "246" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.494250000128522" testexpConfidence = "-1" testexpSupport = "-1" parentId="201" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="267" />
<i v="297" />
<i v="299" />
<i v="302" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="34"/><i v="32"/><i v="25"/><i v="23"/><i v="36"/><i v="34"/><i v="32"/><i v="31"/><i v="30"/><i v="30"/></values>
<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
214
similarId: *none*
base
Show/Hide
confidence: 0.50289016962051392
confidence bounds at 95%: [ 0.45987367630004883 , 0.545906662940979 ]
support: 0.076408252120018005
number of use :519
number of events to predict :3586
number of events predicted: 274
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :4.0345065262736455
density v1 :0.00011650690824491329
cum. density train v1 :0.42157627622453397
cum. density test v1 :2.7372055016905428e-005
density v2 :2.0313757262222499e-005
density ln. v2 :-18.108950305318796
dist. expected v3 :3.9469727122089653
density v3 :0.00016521955558591758
cum. density train v3 :0.54697669871105947
cum. density test v3 :3.9589802158013221e-005
dist. expected v4 :3.9082694577707664
cum. density train v4 :0.60544361792248902
cum. density test v4 :4.6498580335452289e-005
dist. expected v5 :3.9082694577707624
cum. density train v5 :0.60544361792248902
cum. density test v5 :4.6498580335452289e-005
old
Show/Hide
confidence: 0.44234403967857361
confidence bounds at 95%: [ 0.40001958608627319 , 0.48466849327087402 ]
support: 0.072242289781570435
number of use :529
number of events to predict :3599
number of events predicted: 260
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :1.1713704722351737
density v1 :0.20089097624564412
cum. density train v1 :1
cum. density test v1 :0.12072500855743085
density v2 :65.144533323299981
density ln. v2 :-2.6517672852301057
dist. expected v3 :1.1193748772543004
density v3 :0.21321833504424889
cum. density train v3 :1
cum. density test v3 :0.1314901715607365
dist. expected v4 :1.1080447248484493
cum. density train v4 :1
cum. density test v4 :0.13392129697327027
dist. expected v5 :1.1080447248484475
cum. density train v5 :1
cum. density test v5 :0.1339212969732706
parentId:
201 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.635826516263093
creation time: 4.4589999999999996
#id:214
a
← r (temp) [ -19.500249999994409 -5.0074999998323619 ]
( 10 12 13 20 8 0 0 9 16 16 16 10 21 0 0 0 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.50289016962051392 confidence bounds at 95%: [ 0.45987367630004883 , 0.545906662940979 ] support: 0.076408252120018005 number of use :519 number of events to predict :3586 number of events predicted: 274 dataset range :99988.185138863177
OLD: confidence: 0.44234403967857361 confidence bounds at 95%: [ 0.40001958608627319 , 0.48466849327087402 ] support: 0.072242289781570435 number of use :529 number of events to predict :3599 number of events predicted: 260 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="214" score="-10.635826516263093" creationTime="4.4589999999999996" confidence = "0.50289016962051392" support = "0.076408252120018005" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "274" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.50289016962051392" basesupport = "0.076408252120018005" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "274" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.492750000162047" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.44234403967857361" oldsupport = "0.072242289781570435" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "260" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.492750000162047" testexpConfidence = "-1" testexpSupport = "-1" parentId="201" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="10"/><i v="12"/><i v="13"/><i v="20"/><i v="8"/><i v="0"/><i v="0"/><i v="9"/><i v="16"/><i v="16"/><i v="16"/><i v="10"/><i v="21"/><i v="0"/><i v="0"/><i v="0"/><i v="9"/><i v="9"/><i v="18"/><i v="17"/><i v="12"/><i v="17"/><i v="12"/><i v="9"/><i v="16"/><i v="14"/><i v="13"/><i v="13"/><i v="9"/></values>
<bounds><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="34"/><i v="32"/><i v="25"/><i v="23"/><i v="36"/><i v="34"/><i v="32"/><i v="31"/><i v="30"/><i v="30"/></values>
<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
126
similarId: *none*
base
Show/Hide
confidence: 0.49710983037948608
confidence bounds at 95%: [ 0.454093337059021 , 0.54012632369995117 ]
support: 0.073898494243621826
number of use :519
number of events to predict :3586
number of events predicted: 265
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :2.7841494931422694
density v1 :0.0082736233566992039
cum. density train v1 :1
cum. density test v1 :0.0026834735777616636
density v2 :0.00085395641331531048
density ln. v2 :-12.805949785284998
dist. expected v3 :2.6894930246059814
density v3 :0.010720206098619636
cum. density train v3 :1
cum. density test v3 :0.0035780801023410636
dist. expected v4 :2.6607289439909532
cum. density train v4 :1
cum. density test v4 :0.0038986287520614837
dist. expected v5 :2.6607289439909567
cum. density train v5 :1
cum. density test v5 :0.0038986287520613727
old
Show/Hide
confidence: 0.43100190162658691
confidence bounds at 95%: [ 0.38880085945129395 , 0.47320294380187988 ]
support: 0.064740203320980072
number of use :529
number of events to predict :3599
number of events predicted: 233
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :7.81305233639862
density ln. v2 :1.0302615011375615
dist. expected v3 :-0.41981302748619886
density v3 :0.36529135087700126
cum. density train v3 :1
cum. density test v3 :0.66268893591270861
dist. expected v4 :-0.41517849467574935
cum. density train v4 :1
cum. density test v4 :0.66099433707460031
dist. expected v5 :-0.41517849467574902
cum. density train v5 :1
cum. density test v5 :0.66099433707460031
parentId:
101 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.639666241021734
creation time: 4.2249999999999996
#id:126
a
← r (temp) [ -17.00149999996647 -4.0079999998211857 ]
( 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 0 0 0 0 13 9 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
BASE: confidence: 0.49710983037948608 confidence bounds at 95%: [ 0.454093337059021 , 0.54012632369995117 ] support: 0.073898494243621826 number of use :519 number of events to predict :3586 number of events predicted: 265 dataset range :99988.185138863177
OLD: confidence: 0.43100190162658691 confidence bounds at 95%: [ 0.38880085945129395 , 0.47320294380187988 ] support: 0.064740203320980072 number of use :529 number of events to predict :3599 number of events predicted: 233 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="126" score="-10.639666241021734" creationTime="4.2249999999999996" confidence = "0.49710983037948608" support = "0.073898494243621826" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "265" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.49710983037948608" basesupport = "0.073898494243621826" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "265" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.993500000145284" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43100190162658691" oldsupport = "0.064740203320980072" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "233" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.993500000145284" testexpConfidence = "-1" testexpSupport = "-1" parentId="101" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
644
similarId: *none*
base
Show/Hide
confidence: 0.48940271139144897
confidence bounds at 95%: [ 0.4463951587677002 , 0.53241026401519775 ]
support: 0.073061905801296234
number of use :519
number of events to predict :3586
number of events predicted: 262
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :3.3959834756253717
density v1 :0.0012491519267002252
cum. density train v1 :0.99893038405228762
cum. density test v1 :0.00034196429799182582
density v2 :0.00024182403859291659
density ln. v2 :-15.174984284630751
dist. expected v3 :3.3144304375190559
density v3 :0.0016422909424772261
cum. density train v3 :0.9998975628874418
cum. density test v3 :0.00045920760608286759
dist. expected v4 :3.2819297708323538
cum. density train v4 :0.99996682712396012
cum. density test v4 :0.00051555595546814992
dist. expected v5 :3.2819297708323503
cum. density train v5 :0.99996682712396012
cum. density test v5 :0.00051555595546814992
old
Show/Hide
confidence: 0.44990548491477966
confidence bounds at 95%: [ 0.40751117467880249 , 0.49229979515075684 ]
support: 0.068352319300174713
number of use :529
number of events to predict :3599
number of events predicted: 246
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :1.52406293034439
density v1 :0.12488993606601609
cum. density train v1 :1
cum. density test v1 :0.063746518545467423
density v2 :0.93414434127021506
density ln. v2 :-5.4235379583725551
dist. expected v3 :1.438503376828745
density v3 :0.14176500086313393
cum. density train v3 :1
cum. density test v3 :0.075145686052294214
dist. expected v4 :1.423943051394446
cum. density train v4 :1
cum. density test v4 :0.077231528469384858
dist. expected v5 :1.4239430513944433
cum. density train v5 :1
cum. density test v5 :0.077231528469385191
parentId:
617 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.642883220534626
creation time: 5.827
#id:644
a
← r (temp) [ -17.50124999997206 -6.0069999998435382 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.48940271139144897 confidence bounds at 95%: [ 0.4463951587677002 , 0.53241026401519775 ] support: 0.073061905801296234 number of use :519 number of events to predict :3586 number of events predicted: 262 dataset range :99988.185138863177
OLD: confidence: 0.44990548491477966 confidence bounds at 95%: [ 0.40751117467880249 , 0.49229979515075684 ] support: 0.068352319300174713 number of use :529 number of events to predict :3599 number of events predicted: 246 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="644" score="-10.642883220534626" creationTime="5.827" confidence = "0.48940271139144897" support = "0.073061905801296234" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "262" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.48940271139144897" basesupport = "0.073061905801296234" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "262" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.494250000128522" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.44990548491477966" oldsupport = "0.068352319300174713" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "246" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.494250000128522" testexpConfidence = "-1" testexpSupport = "-1" parentId="617" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
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<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
144
similarId: *none*
base
Show/Hide
confidence: 0.50289016962051392
confidence bounds at 95%: [ 0.45987367630004883 , 0.545906662940979 ]
support: 0.074456214904785156
number of use :519
number of events to predict :3586
number of events predicted: 267
dataset range :99988.185138863177
rule range :14.492750000162051
exp. confidence :0.40536594600772557
exp. support :0.07247145874086236
std. error exp. confidence :0.021550871653530642
std. error exp. support :0.0043295424295029259
dist. expected v1 :4.5484631981547876
density v1 :1.2836764650814757e-005
cum. density train v1 :0.052654958004922481
cum. density test v1 :2.7045913160161916e-006
density v2 :2.010278854325423e-007
density ln. v2 :-22.737019076622513
dist. expected v3 :4.4455135080658321
density v3 :2.0394736432879747e-005
cum. density train v3 :0.084017444904587846
cum. density test v3 :4.387888330459333e-006
dist. expected v4 :4.403840384004531
cum. density train v4 :0.10096970598431432
cum. density test v4 :5.3219132195581054e-006
dist. expected v5 :4.4038403840045186
cum. density train v5 :0.10096970598431432
cum. density test v5 :5.3219132195581054e-006
old
Show/Hide
confidence: 0.44990548491477966
confidence bounds at 95%: [ 0.40751117467880249 , 0.49229979515075684 ]
support: 0.069741591811180115
number of use :529
number of events to predict :3599
number of events predicted: 251
dataset range :99936.387513848851
rule range :14.492750000162051
exp. confidence :0.40664590364355047
exp. support :0.073851797522660467
std. error exp. confidence :0.021356856882614576
std. error exp. support :0.0043594314795037245
dist. expected v1 :2.0255593559014953
density v1 :0.051283619522695813
cum. density train v1 :1
cum. density test v1 :0.021404911820756212
density v2 :0.96900174541501516
density ln. v2 :-6.6714204351203392
dist. expected v3 :1.955033641013459
density v3 :0.059011862146652105
cum. density train v3 :1
cum. density test v3 :0.025289480927780383
dist. expected v4 :1.9361159409207749
cum. density train v4 :1
cum. density test v4 :0.026426683041085752
dist. expected v5 :1.9361159409207798
cum. density train v5 :1
cum. density test v5 :0.026426683041085419
parentId:
134 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.652493962626139
creation time: 4.2690000000000001
#id:144
a
← r (temp) [ -19.500249999994409 -5.5072499998379492 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 0 0 12 17 12 0 0 14 13 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 32 25 23 35 34 32 31 30 30 )
BASE: confidence: 0.50289016962051392 confidence bounds at 95%: [ 0.45987367630004883 , 0.545906662940979 ] support: 0.074456214904785156 number of use :519 number of events to predict :3586 number of events predicted: 267 dataset range :99988.185138863177
OLD: confidence: 0.44990548491477966 confidence bounds at 95%: [ 0.40751117467880249 , 0.49229979515075684 ] support: 0.069741591811180115 number of use :529 number of events to predict :3599 number of events predicted: 251 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="144" score="-10.652493962626139" creationTime="4.2690000000000001" confidence = "0.50289016962051392" support = "0.074456214904785156" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "267" datasetrange = "99988.185138863177" rulerange = "14.492750000162051" expConfidence = "0.40536594600772557" expSupport = "0.07247145874086236" baseconfidence = "0.50289016962051392" basesupport = "0.074456214904785156" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "267" basedatasetrange = "99988.185138863177" baserulerange = "14.492750000162051" baseexpConfidence = "0.40536594600772557" baseexpSupport = "0.07247145874086236" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.99300000015646" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.44990548491477966" oldsupport = "0.069741591811180115" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "251" olddatasetrange = "99936.387513848851" oldrulerange = "14.492750000162051" oldexpConfidence = "0.40664590364355047" oldexpSupport = "0.073851797522660467" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.99300000015646" testexpConfidence = "-1" testexpSupport = "-1" parentId="134" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
630
similarId: *none*
base
Show/Hide
confidence: 0.50289016962051392
confidence bounds at 95%: [ 0.45987367630004883 , 0.545906662940979 ]
support: 0.076408252120018005
number of use :519
number of events to predict :3586
number of events predicted: 274
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :4.0345065262736455
density v1 :0.00011650690824491329
cum. density train v1 :0.42157627622453397
cum. density test v1 :2.7372055016905428e-005
density v2 :2.0313757262222499e-005
density ln. v2 :-18.108950305318796
dist. expected v3 :3.9469727122089653
density v3 :0.00016521955558591758
cum. density train v3 :0.54697669871105947
cum. density test v3 :3.9589802158013221e-005
dist. expected v4 :3.9082694577707664
cum. density train v4 :0.60544361792248902
cum. density test v4 :4.6498580335452289e-005
dist. expected v5 :3.9082694577707624
cum. density train v5 :0.60544361792248902
cum. density test v5 :4.6498580335452289e-005
old
Show/Hide
confidence: 0.44234403967857361
confidence bounds at 95%: [ 0.40001958608627319 , 0.48466849327087402 ]
support: 0.072242289781570435
number of use :529
number of events to predict :3599
number of events predicted: 260
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :1.1713704722351737
density v1 :0.20089097624564412
cum. density train v1 :1
cum. density test v1 :0.12072500855743085
density v2 :65.144533323299981
density ln. v2 :-2.6517672852301057
dist. expected v3 :1.1193748772543004
density v3 :0.21321833504424889
cum. density train v3 :1
cum. density test v3 :0.1314901715607365
dist. expected v4 :1.1080447248484493
cum. density train v4 :1
cum. density test v4 :0.13392129697327027
dist. expected v5 :1.1080447248484475
cum. density train v5 :1
cum. density test v5 :0.1339212969732706
parentId:
617 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.676373028866852
creation time: 5.7990000000000004
#id:630
a
← r (temp) [ -19.500249999994409 -5.0074999998323619 ]
( 10 12 13 20 8 0 0 9 16 16 16 10 21 0 0 0 9 9 18 17 12 17 12 9 16 14 13 13 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.50289016962051392 confidence bounds at 95%: [ 0.45987367630004883 , 0.545906662940979 ] support: 0.076408252120018005 number of use :519 number of events to predict :3586 number of events predicted: 274 dataset range :99988.185138863177
OLD: confidence: 0.44234403967857361 confidence bounds at 95%: [ 0.40001958608627319 , 0.48466849327087402 ] support: 0.072242289781570435 number of use :529 number of events to predict :3599 number of events predicted: 260 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="630" score="-10.676373028866852" creationTime="5.7990000000000004" confidence = "0.50289016962051392" support = "0.076408252120018005" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "274" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.50289016962051392" basesupport = "0.076408252120018005" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "274" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.492750000162047" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.44234403967857361" oldsupport = "0.072242289781570435" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "260" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.492750000162047" testexpConfidence = "-1" testexpSupport = "-1" parentId="617" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
609
similarId: *none*
base
Show/Hide
confidence: 0.49710983037948608
confidence bounds at 95%: [ 0.454093337059021 , 0.54012632369995117 ]
support: 0.073898494243621826
number of use :519
number of events to predict :3586
number of events predicted: 265
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :2.7841494931422694
density v1 :0.0082736233566992039
cum. density train v1 :1
cum. density test v1 :0.0026834735777616636
density v2 :0.00085395641331531048
density ln. v2 :-12.805949785284998
dist. expected v3 :2.6894930246059814
density v3 :0.010720206098619636
cum. density train v3 :1
cum. density test v3 :0.0035780801023410636
dist. expected v4 :2.6607289439909532
cum. density train v4 :1
cum. density test v4 :0.0038986287520614837
dist. expected v5 :2.6607289439909567
cum. density train v5 :1
cum. density test v5 :0.0038986287520613727
old
Show/Hide
confidence: 0.43100190162658691
confidence bounds at 95%: [ 0.38880085945129395 , 0.47320294380187988 ]
support: 0.064740203320980072
number of use :529
number of events to predict :3599
number of events predicted: 233
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :7.81305233639862
density ln. v2 :1.0302615011375615
dist. expected v3 :-0.41981302748619886
density v3 :0.36529135087700126
cum. density train v3 :1
cum. density test v3 :0.66268893591270861
dist. expected v4 :-0.41517849467574935
cum. density train v4 :1
cum. density test v4 :0.66099433707460031
dist. expected v5 :-0.41517849467574902
cum. density train v5 :1
cum. density test v5 :0.66099433707460031
parentId:
584 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.680212753625494
creation time: 5.7249999999999996
#id:609
a
← r (temp) [ -17.00149999996647 -4.0079999998211857 ]
( 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 0 0 0 0 13 9 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.49710983037948608 confidence bounds at 95%: [ 0.454093337059021 , 0.54012632369995117 ] support: 0.073898494243621826 number of use :519 number of events to predict :3586 number of events predicted: 265 dataset range :99988.185138863177
OLD: confidence: 0.43100190162658691 confidence bounds at 95%: [ 0.38880085945129395 , 0.47320294380187988 ] support: 0.064740203320980072 number of use :529 number of events to predict :3599 number of events predicted: 233 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="609" score="-10.680212753625494" creationTime="5.7249999999999996" confidence = "0.49710983037948608" support = "0.073898494243621826" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "265" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.49710983037948608" basesupport = "0.073898494243621826" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "265" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.993500000145284" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43100190162658691" oldsupport = "0.064740203320980072" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "233" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.993500000145284" testexpConfidence = "-1" testexpSupport = "-1" parentId="584" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
304
similarId: *none*
base
Show/Hide
confidence: 0.47784200310707092
confidence bounds at 95%: [ 0.43486702442169189 , 0.52081698179244995 ]
support: 0.071388736367225647
number of use :519
number of events to predict :3586
number of events predicted: 256
dataset range :99988.185138863177
rule range :13.99300000015646
exp. confidence :0.39461060017506044
exp. support :0.070061974395799642
std. error exp. confidence :0.021454485336386147
std. error exp. support :0.0042624867953882789
dist. expected v1 :3.8919077142235436
density v1 :0.00020501829042489172
cum. density train v1 :0.63027910640037055
cum. density test v1 :4.9749107453367358e-005
density v2 :8.7176065194750321e-005
density ln. v2 :-16.717101616101431
dist. expected v3 :3.8086132433519628
density v3 :0.00028253561291062703
cum. density train v3 :0.75291194636139558
cum. density test v3 :6.9898082686092877e-005
dist. expected v4 :3.7745221729359786
cum. density train v4 :0.79885472730612161
cum. density test v4 :8.0183179270054694e-005
dist. expected v5 :3.7745221729359817
cum. density train v5 :0.79885472730612161
cum. density test v5 :8.0183179270054694e-005
old
Show/Hide
confidence: 0.43100190162658691
confidence bounds at 95%: [ 0.38880085945129395 , 0.47320294380187988 ]
support: 0.065573766827583313
number of use :529
number of events to predict :3599
number of events predicted: 236
dataset range :99936.387513848851
rule range :13.99300000015646
exp. confidence :0.39586881724568057
exp. support :0.071398208288108167
std. error exp. confidence :0.021262456452656377
std. error exp. support :0.004292076875711516
dist. expected v1 :1.6523530316986057
density v1 :0.10186836851343807
cum. density train v1 :1
cum. density test v1 :0.049231286082348724
density v2 :2.2358644339156353
density ln. v2 :-5.3767053005608743
dist. expected v3 :1.5779971314266517
density v3 :0.11486749795473017
cum. density train v3 :1
cum. density test v3 :0.057283140751138939
dist. expected v4 :1.563416950785455
cum. density train v4 :1
cum. density test v4 :0.05897728866590457
dist. expected v5 :1.5634169507854507
cum. density train v5 :1
cum. density test v5 :0.058977288665905014
parentId:
280 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.69984032103142
creation time: 4.6950000000000003
#id:304
a
← r (temp) [ -17.00149999996647 -6.0069999998435382 ]
( 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 31 24 22 34 31 32 29 29 30 )
BASE: confidence: 0.47784200310707092 confidence bounds at 95%: [ 0.43486702442169189 , 0.52081698179244995 ] support: 0.071388736367225647 number of use :519 number of events to predict :3586 number of events predicted: 256 dataset range :99988.185138863177
OLD: confidence: 0.43100190162658691 confidence bounds at 95%: [ 0.38880085945129395 , 0.47320294380187988 ] support: 0.065573766827583313 number of use :529 number of events to predict :3599 number of events predicted: 236 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="304" score="-10.69984032103142" creationTime="4.6950000000000003" confidence = "0.47784200310707092" support = "0.071388736367225647" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "256" datasetrange = "99988.185138863177" rulerange = "13.99300000015646" expConfidence = "0.39461060017506044" expSupport = "0.070061974395799642" baseconfidence = "0.47784200310707092" basesupport = "0.071388736367225647" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "256" basedatasetrange = "99988.185138863177" baserulerange = "13.99300000015646" baseexpConfidence = "0.39461060017506044" baseexpSupport = "0.070061974395799642" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "10.994500000122931" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43100190162658691" oldsupport = "0.065573766827583313" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "236" olddatasetrange = "99936.387513848851" oldrulerange = "13.99300000015646" oldexpConfidence = "0.39586881724568057" oldexpSupport = "0.071398208288108167" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "10.994500000122931" testexpConfidence = "-1" testexpSupport = "-1" parentId="280" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="33"/><i v="31"/><i v="24"/><i v="22"/><i v="34"/><i v="31"/><i v="32"/><i v="29"/><i v="29"/><i v="30"/></values>
<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
162
similarId: *none*
base
Show/Hide
confidence: 0.47784200310707092
confidence bounds at 95%: [ 0.43486702442169189 , 0.52081698179244995 ]
support: 0.071388736367225647
number of use :519
number of events to predict :3586
number of events predicted: 256
dataset range :99988.185138863177
rule range :14.492750000162051
exp. confidence :0.40536594600772557
exp. support :0.07247145874086236
std. error exp. confidence :0.021550871653530642
std. error exp. support :0.0043295424295029259
dist. expected v1 :3.3630220746765813
density v1 :0.0013963448602517746
cum. density train v1 :0.99955256990503705
cum. density test v1 :0.00038552517830403588
density v2 :0.00073750613612940394
density ln. v2 :-14.267327575510073
dist. expected v3 :3.2869013170436792
density v3 :0.0017985065243083216
cum. density train v3 :0.99996026920927295
cum. density test v3 :0.00050654086912504948
dist. expected v4 :3.2560892531248786
cum. density train v4 :0.99998763001898461
cum. density test v4 :0.00056485230615144211
dist. expected v5 :3.2560892531248693
cum. density train v5 :0.99998763001898461
cum. density test v5 :0.00056485230615144211
old
Show/Hide
confidence: 0.4291115403175354
confidence bounds at 95%: [ 0.38693323731422424 , 0.47128984332084656 ]
support: 0.066129483282566071
number of use :529
number of events to predict :3599
number of events predicted: 238
dataset range :99936.387513848851
rule range :14.492750000162051
exp. confidence :0.40664590364355047
exp. support :0.073851797522660467
std. error exp. confidence :0.021356856882614576
std. error exp. support :0.0043594314795037245
dist. expected v1 :1.0519168058045543
density v1 :0.22941951311559977
cum. density train v1 :1
cum. density test v1 :0.1464188893809093
density v2 :11.82857711233587
density ln. v2 :-3.1276216645649066
dist. expected v3 :0.9776474185186167
density v3 :0.24737848909725996
cum. density train v3 :1
cum. density test v3 :0.16412436923542217
dist. expected v4 :0.96818730475283277
cum. density train v4 :1
cum. density test v4 :0.16647541441499625
dist. expected v5 :0.96818730475283521
cum. density train v5 :1
cum. density test v5 :0.1664754144149958
parentId:
134 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.69984032103142
creation time: 4.2969999999999997
#id:162
a
← r (temp) [ -16.501749999960889 -5.5072499998379492 ]
( 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 14 13 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 32 25 23 35 34 32 31 30 30 )
BASE: confidence: 0.47784200310707092 confidence bounds at 95%: [ 0.43486702442169189 , 0.52081698179244995 ] support: 0.071388736367225647 number of use :519 number of events to predict :3586 number of events predicted: 256 dataset range :99988.185138863177
OLD: confidence: 0.4291115403175354 confidence bounds at 95%: [ 0.38693323731422424 , 0.47128984332084656 ] support: 0.066129483282566071 number of use :529 number of events to predict :3599 number of events predicted: 238 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="162" score="-10.69984032103142" creationTime="4.2969999999999997" confidence = "0.47784200310707092" support = "0.071388736367225647" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "256" datasetrange = "99988.185138863177" rulerange = "14.492750000162051" expConfidence = "0.40536594600772557" expSupport = "0.07247145874086236" baseconfidence = "0.47784200310707092" basesupport = "0.071388736367225647" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "256" basedatasetrange = "99988.185138863177" baserulerange = "14.492750000162051" baseexpConfidence = "0.40536594600772557" baseexpSupport = "0.07247145874086236" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "10.99450000012294" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4291115403175354" oldsupport = "0.066129483282566071" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "238" olddatasetrange = "99936.387513848851" oldrulerange = "14.492750000162051" oldexpConfidence = "0.40664590364355047" oldexpSupport = "0.073851797522660467" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "10.99450000012294" testexpConfidence = "-1" testexpSupport = "-1" parentId="134" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="33"/><i v="32"/><i v="25"/><i v="23"/><i v="35"/><i v="34"/><i v="32"/><i v="31"/><i v="30"/><i v="30"/></values>
<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
556
similarId: *none*
base
Show/Hide
confidence: 0.49132949113845825
confidence bounds at 95%: [ 0.4483187198638916 , 0.5343402624130249 ]
support: 0.072783045470714569
number of use :519
number of events to predict :3586
number of events predicted: 261
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :5.8911755764001219
density v1 :1.1604030187798005e-008
cum. density train v1 :3.8472342421824735e-005
cum. density test v1 :1.9236541248801586e-009
density v2 :1.3508099448956711e-009
density ln. v2 :-27.718655524572146
dist. expected v3 :5.5343274918925101
density v3 :8.9115823382497231e-008
cum. density train v3 :0.0003131679077750249
cum. density test v3 :1.5660847618725882e-008
dist. expected v4 :5.4893359763389675
cum. density train v4 :0.0004043523106393998
cum. density test v4 :2.0221703977973959e-008
dist. expected v5 :5.4893359763389613
cum. density train v5 :0.0004043523106393998
cum. density test v5 :2.0221703977973959e-008
old
Show/Hide
confidence: 0.46880906820297241
confidence bounds at 95%: [ 0.42628335952758789 , 0.51133477687835693 ]
support: 0.072520144283771515
number of use :529
number of events to predict :3599
number of events predicted: 261
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :4.7493556959580587
density v1 :5.0449223458861733e-006
cum. density train v1 :0.020224243445248313
cum. density test v1 :1.0215771453214728e-006
density v2 :3.071017752063145e-005
density ln. v2 :-17.718190533222373
dist. expected v3 :4.466225171128924
density v3 :1.8596778841307612e-005
cum. density train v3 :0.076590406844943892
cum. density test v3 :3.9841110641702926e-006
dist. expected v4 :4.4287455947052683
cum. density train v4 :0.090502483112897769
cum. density test v4 :4.7431393124242049e-006
dist. expected v5 :4.4287455947052621
cum. density train v5 :0.090502483112897769
cum. density test v5 :4.7431393124242049e-006
parentId:
546 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.718194837408248
creation time: 5.5869999999999997
#id:556
a
← r (temp) [ -20 -7.5062499998603016 ]
( 14 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 0 12 17 12 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.49132949113845825 confidence bounds at 95%: [ 0.4483187198638916 , 0.5343402624130249 ] support: 0.072783045470714569 number of use :519 number of events to predict :3586 number of events predicted: 261 dataset range :99988.185138863177
OLD: confidence: 0.46880906820297241 confidence bounds at 95%: [ 0.42628335952758789 , 0.51133477687835693 ] support: 0.072520144283771515 number of use :529 number of events to predict :3599 number of events predicted: 261 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="556" score="-10.718194837408248" creationTime="5.5869999999999997" confidence = "0.49132949113845825" support = "0.072783045470714569" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "261" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.49132949113845825" basesupport = "0.072783045470714569" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "261" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.493750000139698" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.46880906820297241" oldsupport = "0.072520144283771515" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "261" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.493750000139698" testexpConfidence = "-1" testexpSupport = "-1" parentId="546" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="14"/><i v="10"/><i v="12"/><i v="13"/><i v="20"/><i v="8"/><i v="16"/><i v="18"/><i v="9"/><i v="16"/><i v="16"/><i v="16"/><i v="10"/><i v="21"/><i v="13"/><i v="9"/><i v="17"/><i v="9"/><i v="9"/><i v="18"/><i v="0"/><i v="12"/><i v="17"/><i v="12"/><i v="9"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="31"/><i v="30"/><i v="22"/><i v="21"/><i v="34"/><i v="29"/><i v="26"/><i v="28"/><i v="27"/><i v="29"/></values>
<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
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</condition>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="53"/><i v="53"/><i v="50"/><i v="45"/><i v="52"/><i v="45"/><i v="56"/><i v="57"/><i v="43"/><i v="50"/><i v="48"/><i v="47"/><i v="45"/><i v="39"/><i v="51"/><i v="47"/><i v="55"/><i v="47"/><i v="44"/><i v="48"/></values>
<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
562
similarId: *none*
base
Show/Hide
confidence: 0.4797687828540802
confidence bounds at 95%: [ 0.43678677082061768 , 0.52275079488754272 ]
support: 0.07083100825548172
number of use :519
number of events to predict :3586
number of events predicted: 254
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :5.2336790971857452
density v1 :4.4972165978497303e-007
cum. density train v1 :0.0016635713529873364
cum. density test v1 :8.3247827742383151e-008
density v2 :7.9513281640841681e-008
density ln. v2 :-23.793368953434424
dist. expected v3 :4.9877174926179206
density v3 :1.5807653550368628e-006
cum. density train v3 :0.0061005481052970323
cum. density test v3 :3.0596157707396543e-007
dist. expected v4 :4.9471696628274824
cum. density train v4 :0.0075129786394471099
cum. density test v4 :3.7706708999607486e-007
dist. expected v5 :4.9471696628274771
cum. density train v5 :0.0075129786394471099
cum. density test v5 :3.7706708999607486e-007
old
Show/Hide
confidence: 0.43289226293563843
confidence bounds at 95%: [ 0.3906690776348114 , 0.47511544823646545 ]
support: 0.065018057823181152
number of use :529
number of events to predict :3599
number of events predicted: 234
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :2.8129245334454458
density v1 :0.0076334853027248883
cum. density train v1 :1
cum. density test v1 :0.0024547200797425672
density v2 :0.052387591758506047
density ln. v2 :-10.142626979896257
dist. expected v3 :2.7434954449846569
density v3 :0.0092574915168572251
cum. density train v3 :1
cum. density test v3 :0.0030394993293685335
dist. expected v4 :2.7204726364028269
cum. density train v4 :1
cum. density test v4 :0.0032594853698137971
dist. expected v5 :2.7204726364028229
cum. density train v5 :1
cum. density test v5 :0.0032594853698137971
parentId:
546 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.739976753679125
creation time: 5.5990000000000002
#id:562
a
← r (temp) [ -19.000499999988829 -8.0059999998658888 ]
( 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.4797687828540802 confidence bounds at 95%: [ 0.43678677082061768 , 0.52275079488754272 ] support: 0.07083100825548172 number of use :519 number of events to predict :3586 number of events predicted: 254 dataset range :99988.185138863177
OLD: confidence: 0.43289226293563843 confidence bounds at 95%: [ 0.3906690776348114 , 0.47511544823646545 ] support: 0.065018057823181152 number of use :529 number of events to predict :3599 number of events predicted: 234 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="562" score="-10.739976753679125" creationTime="5.5990000000000002" confidence = "0.4797687828540802" support = "0.07083100825548172" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "254" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.4797687828540802" basesupport = "0.07083100825548172" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "254" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "10.99450000012294" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43289226293563843" oldsupport = "0.065018057823181152" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "234" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "10.99450000012294" testexpConfidence = "-1" testexpSupport = "-1" parentId="546" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
432
similarId: *none*
base
Show/Hide
confidence: 0.33672171831130981
confidence bounds at 95%: [ 0.30370360612869263 , 0.369739830493927 ]
support: 0.079475738108158112
number of use :787
number of events to predict :3586
number of events predicted: 285
dataset range :99988.185138863177
rule range :4.4977500000502921
exp. confidence :0.1489734918855965
exp. support :0.03478294105612556
std. error exp. confidence :0.012692251716012746
std. error exp. support :0.003059782118249229
dist. expected v1 :20.788561953648276
density v1 :5.7229891690403079e-095
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.1493981516665006e-045
density ln. v2 :-32.331240057370032
dist. expected v3 :14.849901844672928
density v3 :5.1962573459887481e-049
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :14.779899803825087
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :14.779899803825121
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.31674757599830627
confidence bounds at 95%: [ 0.28498324751853943 , 0.34851190447807312 ]
support: 0.077243678271770477
number of use :824
number of events to predict :3599
number of events predicted: 278
dataset range :99936.387513848851
rule range :4.4977500000502921
exp. confidence :0.14954238623096183
exp. support :0.036406626687261134
std. error exp. confidence :0.012423526311352722
std. error exp. support :0.0031220956148405505
dist. expected v1 :18.76765339187277
density v1 :1.3069637625654787e-077
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.5367638492777952e-037
density ln. v2 :-27.020010331297694
dist. expected v3 :13.503495244406643
density v3 :1.0123489044610869e-040
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :13.435147673430412
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :13.43514767343042
cum. density train v5 :0
cum. density test v5 :0
parentId:
416 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.740178597783103
creation time: 5.0919999999999996
#id:432
a
← r (temp) [ -3.5082499998155972 -0.0099999997764825821 ]
( 97 89 0 0 0 0 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 131 114 112 141 )
BASE: confidence: 0.33672171831130981 confidence bounds at 95%: [ 0.30370360612869263 , 0.369739830493927 ] support: 0.079475738108158112 number of use :787 number of events to predict :3586 number of events predicted: 285 dataset range :99988.185138863177
OLD: confidence: 0.31674757599830627 confidence bounds at 95%: [ 0.28498324751853943 , 0.34851190447807312 ] support: 0.077243678271770477 number of use :824 number of events to predict :3599 number of events predicted: 278 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="432" score="-10.740178597783103" creationTime="5.0919999999999996" confidence = "0.33672171831130981" support = "0.079475738108158112" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "285" datasetrange = "99988.185138863177" rulerange = "4.4977500000502921" expConfidence = "0.1489734918855965" expSupport = "0.03478294105612556" baseconfidence = "0.33672171831130981" basesupport = "0.079475738108158112" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "285" basedatasetrange = "99988.185138863177" baserulerange = "4.4977500000502921" baseexpConfidence = "0.1489734918855965" baseexpSupport = "0.03478294105612556" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.4982500000391146" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.31674757599830627" oldsupport = "0.077243678271770477" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "278" olddatasetrange = "99936.387513848851" oldrulerange = "4.4977500000502921" oldexpConfidence = "0.14954238623096183" oldexpSupport = "0.036406626687261134" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.4982500000391146" testexpConfidence = "-1" testexpSupport = "-1" parentId="416" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
222
similarId: *none*
base
Show/Hide
confidence: 0.47591522336006165
confidence bounds at 95%: [ 0.43294793367385864 , 0.51888251304626465 ]
support: 0.069994419813156128
number of use :519
number of events to predict :3586
number of events predicted: 251
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :2.7725758095990929
density v1 :0.0085439927681272947
cum. density train v1 :1
cum. density test v1 :0.0027807860367965453
density v2 :0.0023832930777286433
density ln. v2 :-12.160533847799227
dist. expected v3 :2.6837139957137666
density v3 :0.010887946377094875
cum. density train v3 :1
cum. density test v3 :0.0036405152878188352
dist. expected v4 :2.6573980130128541
cum. density train v4 :1
cum. density test v4 :0.0039373639666540061
dist. expected v5 :2.6573980130128514
cum. density train v5 :1
cum. density test v5 :0.0039373639666540061
old
Show/Hide
confidence: 0.43856331706047058
confidence bounds at 95%: [ 0.39627748727798462 , 0.48084914684295654 ]
support: 0.065573766827583313
number of use :529
number of events to predict :3599
number of events predicted: 236
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :0.99502424318056548
density v1 :0.24317470205328004
cum. density train v1 :1
cum. density test v1 :0.15986224474692723
density v2 :1.7799216496966745
density ln. v2 :-3.5469476627582495
dist. expected v3 :0.9020060290220302
density v3 :0.26560475162096259
cum. density train v3 :1
cum. density test v3 :0.18352680405972721
dist. expected v4 :0.89287605300819961
cum. density train v4 :1
cum. density test v4 :0.18596174440191304
dist. expected v5 :0.89287605300819806
cum. density train v5 :1
cum. density test v5 :0.18596174440191326
parentId:
201 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.755451931444018
creation time: 4.4749999999999996
#id:222
a
← r (temp) [ -18.500749999983238 -7.5062499998603016 ]
( 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.47591522336006165 confidence bounds at 95%: [ 0.43294793367385864 , 0.51888251304626465 ] support: 0.069994419813156128 number of use :519 number of events to predict :3586 number of events predicted: 251 dataset range :99988.185138863177
OLD: confidence: 0.43856331706047058 confidence bounds at 95%: [ 0.39627748727798462 , 0.48084914684295654 ] support: 0.065573766827583313 number of use :529 number of events to predict :3599 number of events predicted: 236 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="222" score="-10.755451931444018" creationTime="4.4749999999999996" confidence = "0.47591522336006165" support = "0.069994419813156128" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "251" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.47591522336006165" basesupport = "0.069994419813156128" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "251" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "10.994500000122937" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43856331706047058" oldsupport = "0.065573766827583313" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "236" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "10.994500000122937" testexpConfidence = "-1" testexpSupport = "-1" parentId="201" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
657
similarId:
663 ,
665 ,
667 ,
670 ,
673 ,
677
base
Show/Hide
confidence: 0.58119660615921021
confidence bounds at 95%: [ 0.52958238124847412 , 0.63281083106994629 ]
support: 0.055772449821233749
number of use :351
number of events to predict :3586
number of events predicted: 200
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.051272664423804293
std. error exp. confidence :0.026308073983752078
std. error exp. support :0.0036830575722494826
dist. expected v1 :6.3996668554876788
density v1 :5.099000122625799e-010
cum. density train v1 :1.5643874009541037e-006
cum. density test v1 :7.8219430932335854e-011
density v2 :8.2372998039689375e-017
density ln. v2 :-44.159794622593623
dist. expected v3 :6.2389316349447252
density v3 :1.4080324875091864e-009
cum. density train v3 :4.4241757041207919e-006
cum. density test v3 :2.2120927312130334e-010
dist. expected v4 :6.2082040267010479
cum. density train v4 :5.3813941740532556e-006
cum. density test v4 :2.6907043260138153e-010
dist. expected v5 :6.2082040267010443
cum. density train v5 :5.3813941740532556e-006
cum. density test v5 :2.6907043260138153e-010
old
Show/Hide
confidence: 0.51156812906265259
confidence bounds at 95%: [ 0.46189343929290771 , 0.56124281883239746 ]
support: 0.053626008331775665
number of use :389
number of events to predict :3599
number of events predicted: 193
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.056691899372704024
std. error exp. confidence :0.025001247162464681
std. error exp. support :0.0038547512899208183
dist. expected v1 :3.7733053160875665
density v1 :0.00032300103273911183
cum. density train v1 :0.80042652871775677
cum. density test v1 :8.0575395295712227e-005
density v2 :5.52968472016037e-007
density ln. v2 :-20.45844918029351
dist. expected v3 :3.7166313156187192
density v3 :0.00039937381446064136
cum. density train v3 :0.86729896024271858
cum. density test v3 :0.0001009777265199574
dist. expected v4 :3.6946213272617574
cum. density train v4 :0.88951591546049669
cum. density test v4 :0.00011013812433713355
dist. expected v5 :3.6946213272617534
cum. density train v5 :0.88951591546049669
cum. density test v5 :0.00011013812433713355
parentId:
513 [Interactive]
creation: Add condition [ gain:0.0036642945809316489 impList:2 first:1 loop:23 ]
number of condition: 3
score: -10.761026743475883
creation time: 5.891
#id:657
a
← r (temp) [ -20 -5.0074999998323619 ]
( 7 7 7 6 11 9 9 12 11 7 8 11 8 12 9 9 8 4 3 18 12 9 13 5 10 12 7 9 12 10 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
← r (temp) [ -8.4942500001285222 -1.490750000206752 ]
( 25 24 19 15 19 23 12 20 18 17 26 14 22 15 )
BASE: confidence: 0.58119660615921021 confidence bounds at 95%: [ 0.52958238124847412 , 0.63281083106994629 ] support: 0.055772449821233749 number of use :351 number of events to predict :3586 number of events predicted: 200 dataset range :99988.185138863177
OLD: confidence: 0.51156812906265259 confidence bounds at 95%: [ 0.46189343929290771 , 0.56124281883239746 ] support: 0.053626008331775665 number of use :389 number of events to predict :3599 number of events predicted: 193 dataset range :99936.387513848851
Add condition [ gain:0.0036642945809316489 impList:2 first:1 loop:23 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="657" score="-10.761026743475883" creationTime="5.891" confidence = "0.58119660615921021" support = "0.055772449821233749" number_of_use = "351" number_of_events_to_predict = "3586" number_of_events_predicted = "200" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.051272664423804293" baseconfidence = "0.58119660615921021" basesupport = "0.055772449821233749" basenumber_of_use = "351" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "200" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.051272664423804293" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.992500000167638" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.51156812906265259" oldsupport = "0.053626008331775665" oldnumber_of_use = "389" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "193" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.056691899372704024" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.992500000167638" testexpConfidence = "-1" testexpSupport = "-1" parentId="513" entropyGain="0.0036642945809316489" type="2" split="-1" gaussian="-1" impList="2" firstElement="1" loop="23" threathold="-1" >
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
566
similarId:
568 ,
571
base
Show/Hide
confidence: 0.47398844361305237
confidence bounds at 95%: [ 0.43102946877479553 , 0.51694738864898682 ]
support: 0.071109868586063385
number of use :519
number of events to predict :3586
number of events predicted: 255
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :4.9900854601775499
density v1 :1.5622007664590083e-006
cum. density train v1 :0.0060264818965171107
cum. density test v1 :3.0223567570875076e-007
density v2 :2.0137250506697599e-006
density ln. v2 :-20.499188834065748
dist. expected v3 :4.7227955438485534
density v3 :5.7211689720891613e-006
cum. density train v3 :0.023021014391625183
cum. density test v3 :1.1645061355203268e-006
dist. expected v4 :4.6844014066243753
cum. density train v4 :0.027718538842229079
cum. density test v4 :1.4054963796139575e-006
dist. expected v5 :4.68440140662437
cum. density train v5 :0.027718538842229079
cum. density test v5 :1.4054963796139575e-006
old
Show/Hide
confidence: 0.43100190162658691
confidence bounds at 95%: [ 0.38880085945129395 , 0.47320294380187988 ]
support: 0.06335093080997467
number of use :529
number of events to predict :3599
number of events predicted: 228
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :2.7230546308537056
density v1 :0.0097894324698670973
cum. density train v1 :1
cum. density test v1 :0.0032341203895412951
density v2 :0.022368944416799257
density ln. v2 :-10.616683084388722
dist. expected v3 :2.644122829502539
density v3 :0.012099014185721242
cum. density train v3 :1
cum. density test v3 :0.0040951877311345974
dist. expected v4 :2.6219339339890548
cum. density train v4 :1
cum. density test v4 :0.0043716565931108953
dist. expected v5 :2.6219339339890508
cum. density train v5 :1
cum. density test v5 :0.0043716565931108953
parentId:
546 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.780604233232348
creation time: 5.6109999999999998
#id:566
a
← r (temp) [ -18.000999999977651 -7.0064999998547144 ]
( 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.47398844361305237 confidence bounds at 95%: [ 0.43102946877479553 , 0.51694738864898682 ] support: 0.071109868586063385 number of use :519 number of events to predict :3586 number of events predicted: 255 dataset range :99988.185138863177
OLD: confidence: 0.43100190162658691 confidence bounds at 95%: [ 0.38880085945129395 , 0.47320294380187988 ] support: 0.06335093080997467 number of use :529 number of events to predict :3599 number of events predicted: 228 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="566" score="-10.780604233232348" creationTime="5.6109999999999998" confidence = "0.47398844361305237" support = "0.071109868586063385" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "255" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.47398844361305237" basesupport = "0.071109868586063385" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "255" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "10.994500000122937" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43100190162658691" oldsupport = "0.06335093080997467" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "228" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "10.994500000122937" testexpConfidence = "-1" testexpSupport = "-1" parentId="546" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<i v="571" />
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
638
similarId: *none*
base
Show/Hide
confidence: 0.47591522336006165
confidence bounds at 95%: [ 0.43294793367385864 , 0.51888251304626465 ]
support: 0.069994419813156128
number of use :519
number of events to predict :3586
number of events predicted: 251
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :2.7725758095990929
density v1 :0.0085439927681272947
cum. density train v1 :1
cum. density test v1 :0.0027807860367965453
density v2 :0.0023832930777286433
density ln. v2 :-12.160533847799227
dist. expected v3 :2.6837139957137666
density v3 :0.010887946377094875
cum. density train v3 :1
cum. density test v3 :0.0036405152878188352
dist. expected v4 :2.6573980130128541
cum. density train v4 :1
cum. density test v4 :0.0039373639666540061
dist. expected v5 :2.6573980130128514
cum. density train v5 :1
cum. density test v5 :0.0039373639666540061
old
Show/Hide
confidence: 0.43856331706047058
confidence bounds at 95%: [ 0.39627748727798462 , 0.48084914684295654 ]
support: 0.065573766827583313
number of use :529
number of events to predict :3599
number of events predicted: 236
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :0.99502424318056548
density v1 :0.24317470205328004
cum. density train v1 :1
cum. density test v1 :0.15986224474692723
density v2 :1.7799216496966745
density ln. v2 :-3.5469476627582495
dist. expected v3 :0.9020060290220302
density v3 :0.26560475162096259
cum. density train v3 :1
cum. density test v3 :0.18352680405972721
dist. expected v4 :0.89287605300819961
cum. density train v4 :1
cum. density test v4 :0.18596174440191304
dist. expected v5 :0.89287605300819806
cum. density train v5 :1
cum. density test v5 :0.18596174440191326
parentId:
617 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.795998444047777
creation time: 5.8150000000000004
#id:638
a
← r (temp) [ -18.500749999983238 -7.5062499998603016 ]
( 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.47591522336006165 confidence bounds at 95%: [ 0.43294793367385864 , 0.51888251304626465 ] support: 0.069994419813156128 number of use :519 number of events to predict :3586 number of events predicted: 251 dataset range :99988.185138863177
OLD: confidence: 0.43856331706047058 confidence bounds at 95%: [ 0.39627748727798462 , 0.48084914684295654 ] support: 0.065573766827583313 number of use :529 number of events to predict :3599 number of events predicted: 236 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="638" score="-10.795998444047777" creationTime="5.8150000000000004" confidence = "0.47591522336006165" support = "0.069994419813156128" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "251" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.47591522336006165" basesupport = "0.069994419813156128" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "251" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "10.994500000122937" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43856331706047058" oldsupport = "0.065573766827583313" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "236" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "10.994500000122937" testexpConfidence = "-1" testexpSupport = "-1" parentId="617" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
360
similarId: *none*
base
Show/Hide
confidence: 0.27445998787879944
confidence bounds at 95%: [ 0.24328266084194183 , 0.30563732981681824 ]
support: 0.060791969299316406
number of use :787
number of events to predict :3586
number of events predicted: 218
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :21.834117334760602
density v1 :1.2039059679523892e-104
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.8768474964297253e-054
density ln. v2 :-45.678060531288942
dist. expected v3 :15.984837701043206
density v3 :1.3077505320545063e-056
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :15.935974732886335
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :15.935974732886072
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.26213592290878296
confidence bounds at 95%: [ 0.23210671544075012 , 0.2921651303768158 ]
support: 0.061128091067075729
number of use :824
number of events to predict :3599
number of events predicted: 220
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :20.796333561433872
density v1 :4.8690580622883687e-095
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.7895647923650769e-048
density ln. v2 :-35.905942000208086
dist. expected v3 :15.13327252231622
density v3 :7.425593336576334e-051
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :15.083579033501525
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :15.08357903350165
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.841208773513809
creation time: 4.8049999999999997
#id:360
a
← r (temp) [ -2.5087499998044218 -1.509249999793248 ]
( 120 110 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.27445998787879944 confidence bounds at 95%: [ 0.24328266084194183 , 0.30563732981681824 ] support: 0.060791969299316406 number of use :787 number of events to predict :3586 number of events predicted: 218 dataset range :99988.185138863177
OLD: confidence: 0.26213592290878296 confidence bounds at 95%: [ 0.23210671544075012 , 0.2921651303768158 ] support: 0.061128091067075729 number of use :824 number of events to predict :3599 number of events predicted: 220 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="360" score="-10.841208773513809" creationTime="4.8049999999999997" confidence = "0.27445998787879944" support = "0.060791969299316406" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "218" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.27445998787879944" basesupport = "0.060791969299316406" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "218" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.99950000001117378" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.26213592290878296" oldsupport = "0.061128091067075729" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "220" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.99950000001117378" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="120"/><i v="110"/></values>
<bounds><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
570
similarId: *none*
base
Show/Hide
confidence: 0.46242773532867432
confidence bounds at 95%: [ 0.41953212022781372 , 0.50532335042953491 ]
support: 0.068042390048503876
number of use :519
number of events to predict :3586
number of events predicted: 244
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :4.2916074241854796
density v1 :3.9949848625156664e-005
cum. density train v1 :0.1626480246533325
cum. density test v1 :8.8754994505002571e-006
density v2 :1.913567446361323e-005
density ln. v2 :-18.365090425641402
dist. expected v3 :4.1687345993703859
density v3 :6.7181502200664727e-005
cum. density train v3 :0.26396761822142634
cum. density test v3 :1.532394079917232e-005
dist. expected v4 :4.1348447206378882
cum. density train v4 :0.2991073794723158
cum. density test v4 :1.7769871318851216e-005
dist. expected v5 :4.1348447206378838
cum. density train v5 :0.2991073794723158
cum. density test v5 :1.7769871318851216e-005
old
Show/Hide
confidence: 0.42533081769943237
confidence bounds at 95%: [ 0.38319993019104004 , 0.46746170520782471 ]
support: 0.06196165457367897
number of use :529
number of events to predict :3599
number of events predicted: 223
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :2.4534449230784845
density v1 :0.019670513749474466
cum. density train v1 :1
cum. density test v1 :0.0070747652422697982
density v2 :0.043023331024575021
density ln. v2 :-9.5930154460761106
dist. expected v3 :2.3707120248224682
density v3 :0.024015008605578737
cum. density train v3 :1
cum. density test v3 :0.0088769157191808112
dist. expected v4 :2.3508175324696894
cum. density train v4 :1
cum. density test v4 :0.0093660910483258641
dist. expected v5 :2.3508175324696858
cum. density train v5 :1
cum. density test v5 :0.0093660910483259752
parentId:
546 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.921045391608684
creation time: 5.6189999999999998
#id:570
a
← r (temp) [ -18.000999999977651 -7.5062499998603016 ]
( 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.46242773532867432 confidence bounds at 95%: [ 0.41953212022781372 , 0.50532335042953491 ] support: 0.068042390048503876 number of use :519 number of events to predict :3586 number of events predicted: 244 dataset range :99988.185138863177
OLD: confidence: 0.42533081769943237 confidence bounds at 95%: [ 0.38319993019104004 , 0.46746170520782471 ] support: 0.06196165457367897 number of use :529 number of events to predict :3599 number of events predicted: 223 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="570" score="-10.921045391608684" creationTime="5.6189999999999998" confidence = "0.46242773532867432" support = "0.068042390048503876" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "244" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.46242773532867432" basesupport = "0.068042390048503876" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "244" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "10.494750000117349" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.42533081769943237" oldsupport = "0.06196165457367897" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "223" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "10.494750000117349" testexpConfidence = "-1" testexpSupport = "-1" parentId="546" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="53"/><i v="53"/><i v="50"/><i v="45"/><i v="52"/><i v="45"/><i v="56"/><i v="57"/><i v="43"/><i v="50"/><i v="48"/><i v="47"/><i v="45"/><i v="39"/><i v="51"/><i v="47"/><i v="55"/><i v="47"/><i v="44"/><i v="48"/></values>
<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
559
similarId: *none*
base
Show/Hide
confidence: 0.47013488411903381
confidence bounds at 95%: [ 0.42719447612762451 , 0.51307529211044312 ]
support: 0.068878971040248871
number of use :519
number of events to predict :3586
number of events predicted: 247
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :4.6846151624310979
density v1 :6.8466700823848169e-006
cum. density train v1 :0.027690040064652588
cum. density test v1 :1.4040308410345759e-006
density v2 :1.2048803645253066e-006
density ln. v2 :-21.135030884543998
dist. expected v3 :4.5300370971908412
density v3 :1.3956620364581337e-005
cum. density train v3 :0.057321256874118154
cum. density test v3 :2.9514821324738705e-006
dist. expected v4 :4.493209996731939
cum. density train v4 :0.067812933967830946
cum. density test v4 :3.511082326657089e-006
dist. expected v5 :4.4932099967319346
cum. density train v5 :0.067812933967830946
cum. density test v5 :3.511082326657089e-006
old
Show/Hide
confidence: 0.42722117900848389
confidence bounds at 95%: [ 0.38506627082824707 , 0.4693760871887207 ]
support: 0.065295912325382233
number of use :529
number of events to predict :3599
number of events predicted: 235
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :2.5433148256702247
density v1 :0.015714621654786771
cum. density train v1 :1
cum. density test v1 :0.0054903355799753584
density v2 :0.40943122989124892
density ln. v2 :-8.175534800926787
dist. expected v3 :2.4814879275923731
density v3 :0.018355432475240172
cum. density train v3 :1
cum. density test v3 :0.0065417680362652719
dist. expected v4 :2.4606638282998001
cum. density train v4 :1
cum. density test v4 :0.0069340185355546424
dist. expected v5 :2.4606638282997966
cum. density train v5 :1
cum. density test v5 :0.0069340185355547534
parentId:
546 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -10.921459117751423
creation time: 5.5949999999999998
#id:559
a
← r (temp) [ -19.500249999994409 -8.0059999998658888 ]
( 10 12 13 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 0 12 17 12 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.47013488411903381 confidence bounds at 95%: [ 0.42719447612762451 , 0.51307529211044312 ] support: 0.068878971040248871 number of use :519 number of events to predict :3586 number of events predicted: 247 dataset range :99988.185138863177
OLD: confidence: 0.42722117900848389 confidence bounds at 95%: [ 0.38506627082824707 , 0.4693760871887207 ] support: 0.065295912325382233 number of use :529 number of events to predict :3599 number of events predicted: 235 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="559" score="-10.921459117751423" creationTime="5.5949999999999998" confidence = "0.47013488411903381" support = "0.068878971040248871" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "247" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.47013488411903381" basesupport = "0.068878971040248871" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "247" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.49425000012852" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.42722117900848389" oldsupport = "0.065295912325382233" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "235" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.49425000012852" testexpConfidence = "-1" testexpSupport = "-1" parentId="546" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
290
similarId: *none*
base
Show/Hide
confidence: 0.47398844361305237
confidence bounds at 95%: [ 0.43102946877479553 , 0.51694738864898682 ]
support: 0.069994419813156128
number of use :519
number of events to predict :3586
number of events predicted: 251
dataset range :99988.185138863177
rule range :13.99300000015646
exp. confidence :0.39461060017506044
exp. support :0.070061974395799642
std. error exp. confidence :0.021454485336386147
std. error exp. support :0.0042624867953882789
dist. expected v1 :3.6998251038615941
density v1 :0.00042505523499649538
cum. density train v1 :0.88446780011824744
cum. density test v1 :0.00010790447794395419
density v2 :0.00011148062467962818
density ln. v2 :-16.312120519979118
dist. expected v3 :3.6234699077299224
density v3 :0.00056217036169566807
cum. density train v3 :0.94539838277047983
cum. density test v3 :0.00014537402102687835
dist. expected v4 :3.5910360637342791
cum. density train v4 :0.96292035360915551
cum. density test v4 :0.00016472078577711713
dist. expected v5 :3.5910360637342822
cum. density train v5 :0.96292035360915551
cum. density test v5 :0.00016472078577711713
old
Show/Hide
confidence: 0.4291115403175354
confidence bounds at 95%: [ 0.38693323731422424 , 0.47128984332084656 ]
support: 0.067796610295772552
number of use :529
number of events to predict :3599
number of events predicted: 244
dataset range :99936.387513848851
rule range :13.99300000015646
exp. confidence :0.39586881724568057
exp. support :0.071398208288108167
std. error exp. confidence :0.021262456452656377
std. error exp. support :0.004292076875711516
dist. expected v1 :1.5634469679396674
density v1 :0.11752293840480395
cum. density train v1 :1
cum. density test v1 :0.058973760869783121
density v2 :16.108454687315856
density ln. v2 :-4.1142084622839974
dist. expected v3 :1.5060125690652399
density v3 :0.12835242704046734
cum. density train v3 :1
cum. density test v3 :0.066032001528260942
dist. expected v4 :1.4920975023850922
cum. density train v4 :1
cum. density test v4 :0.067836825230483067
dist. expected v5 :1.4920975023850882
cum. density train v5 :1
cum. density test v5 :0.067836825230483511
parentId:
280 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -10.976473112583683
creation time: 4.649
#id:290
a
← r (temp) [ -19.500249999994409 -6.0069999998435382 ]
( 10 12 13 0 8 16 18 0 16 16 16 10 21 13 9 17 9 9 18 0 12 17 12 0 0 14 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 31 24 22 34 31 32 29 29 30 )
BASE: confidence: 0.47398844361305237 confidence bounds at 95%: [ 0.43102946877479553 , 0.51694738864898682 ] support: 0.069994419813156128 number of use :519 number of events to predict :3586 number of events predicted: 251 dataset range :99988.185138863177
OLD: confidence: 0.4291115403175354 confidence bounds at 95%: [ 0.38693323731422424 , 0.47128984332084656 ] support: 0.067796610295772552 number of use :529 number of events to predict :3599 number of events predicted: 244 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="290" score="-10.976473112583683" creationTime="4.649" confidence = "0.47398844361305237" support = "0.069994419813156128" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "251" datasetrange = "99988.185138863177" rulerange = "13.99300000015646" expConfidence = "0.39461060017506044" expSupport = "0.070061974395799642" baseconfidence = "0.47398844361305237" basesupport = "0.069994419813156128" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "251" basedatasetrange = "99988.185138863177" baserulerange = "13.99300000015646" baseexpConfidence = "0.39461060017506044" baseexpSupport = "0.070061974395799642" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.493250000150871" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4291115403175354" oldsupport = "0.067796610295772552" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "244" olddatasetrange = "99936.387513848851" oldrulerange = "13.99300000015646" oldexpConfidence = "0.39586881724568057" oldexpSupport = "0.071398208288108167" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.493250000150871" testexpConfidence = "-1" testexpSupport = "-1" parentId="280" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
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</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
472
similarId: *none*
base
Show/Hide
confidence: 0.24552160501480103
confidence bounds at 95%: [ 0.2181379646062851 , 0.27290526032447815 ]
support: 0.069994419813156128
number of use :949
number of events to predict :3586
number of events predicted: 251
dataset range :99988.185138863177
rule range :1.499250000016765
exp. confidence :0.052349827241910618
exp. support :0.01412890713455861
std. error exp. confidence :0.0072301705735265676
std. error exp. support :0.0019708755827479202
dist. expected v1 :38.952427634372775
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :7.1109180940512462e-152
density ln. v2 :-25.089326491840719
dist. expected v3 :26.879750359001534
density v3 :5.0988574169227528e-158
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :26.826264540175131
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :26.826264540176343
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.29192546010017395
confidence bounds at 95%: [ 0.26325446367263794 , 0.32059645652770996 ]
support: 0.081689357757568359
number of use :966
number of events to predict :3599
number of events predicted: 294
dataset range :99936.387513848851
rule range :1.499250000016765
exp. confidence :0.052561032530939023
exp. support :0.014387577624102366
std. error exp. confidence :0.0071799100317768991
std. error exp. support :0.0019849793853794649
dist. expected v1 :47.550107555583111
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.423676614540245e-240
density ln. v2 :-114.26814615978272
dist. expected v3 :33.44459442026649
density v3 :5.16226888518555e-244
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :33.376342134962634
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :33.37634213496279
cum. density train v5 :0
cum. density test v5 :0
parentId:
469 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.004975634475723
creation time: 5.2530000000000001
#id:472
a
← r (temp) [ -1.009499999787657 -0.0099999997764825821 ]
( 122 141 )
← r (temp) [ -3.4917500001844028 -0.49025000021793019 ]
( 59 71 72 49 48 59 )
BASE: confidence: 0.24552160501480103 confidence bounds at 95%: [ 0.2181379646062851 , 0.27290526032447815 ] support: 0.069994419813156128 number of use :949 number of events to predict :3586 number of events predicted: 251 dataset range :99988.185138863177
OLD: confidence: 0.29192546010017395 confidence bounds at 95%: [ 0.26325446367263794 , 0.32059645652770996 ] support: 0.081689357757568359 number of use :966 number of events to predict :3599 number of events predicted: 294 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="472" score="-11.004975634475723" creationTime="5.2530000000000001" confidence = "0.24552160501480103" support = "0.069994419813156128" number_of_use = "949" number_of_events_to_predict = "3586" number_of_events_predicted = "251" datasetrange = "99988.185138863177" rulerange = "1.499250000016765" expConfidence = "0.052349827241910618" expSupport = "0.01412890713455861" baseconfidence = "0.24552160501480103" basesupport = "0.069994419813156128" basenumber_of_use = "949" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "251" basedatasetrange = "99988.185138863177" baserulerange = "1.499250000016765" baseexpConfidence = "0.052349827241910618" baseexpSupport = "0.01412890713455861" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.99950000001117445" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.29192546010017395" oldsupport = "0.081689357757568359" oldnumber_of_use = "966" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "294" olddatasetrange = "99936.387513848851" oldrulerange = "1.499250000016765" oldexpConfidence = "0.052561032530939023" oldexpSupport = "0.014387577624102366" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.99950000001117445" testexpConfidence = "-1" testexpSupport = "-1" parentId="469" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="122"/><i v="141"/></values>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
676
similarId: *none*
base
Show/Hide
confidence: 0.54985755681991577
confidence bounds at 95%: [ 0.49780973792076111 , 0.60190540552139282 ]
support: 0.054099276661872864
number of use :351
number of events to predict :3586
number of events predicted: 194
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.051272664423804293
std. error exp. confidence :0.026308073983752078
std. error exp. support :0.0036830575722494826
dist. expected v1 :5.1482548998550799
density v1 :7.0068823634377691e-007
cum. density train v1 :0.0026305306271636741
cum. density test v1 :1.316998189393459e-007
density v2 :3.1047060367119584e-010
density ln. v2 :-29.101152400840025
dist. expected v3 :5.0528368948422191
density v3 :1.1399582988944818e-006
cum. density train v3 :0.0043507104003295272
cum. density test v3 :2.1801009031374718e-007
dist. expected v4 :5.0279509685797361
cum. density train v4 :0.0049532358919779362
cum. density test v4 :2.4827716038622327e-007
dist. expected v5 :5.0279509685797334
cum. density train v5 :0.0049532358919779362
cum. density test v5 :2.4827716038622327e-007
old
Show/Hide
confidence: 0.47300770878791809
confidence bounds at 95%: [ 0.42339217662811279 , 0.52262324094772339 ]
support: 0.050013892352581024
number of use :389
number of events to predict :3599
number of events predicted: 180
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.056691899372704024
std. error exp. confidence :0.025001247162464681
std. error exp. support :0.0038547512899208183
dist. expected v1 :2.2309654470338853
density v1 :0.033122517325979241
cum. density train v1 :1
cum. density test v1 :0.012841666511607119
density v2 :0.0094002136493542138
density ln. v2 :-9.7693978154004437
dist. expected v3 :2.1766661510817462
density v3 :0.037333049471083311
cum. density train v3 :1
cum. density test v3 :0.014752690802844026
dist. expected v4 :2.163775876913046
cum. density train v4 :1
cum. density test v4 :0.015240723167226244
dist. expected v5 :2.1637758769130437
cum. density train v5 :1
cum. density test v5 :0.015240723167226244
parentId:
657 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -11.043664816443412
creation time: 5.9320000000000004
#id:676
a
← r (temp) [ -20 -5.0074999998323619 ]
( 7 7 7 0 11 9 9 12 11 7 8 11 8 12 9 9 8 4 0 18 12 9 13 5 10 12 7 0 12 10 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
← r (temp) [ -8.4942500001285222 -1.490750000206752 ]
( 25 24 19 15 19 23 12 20 18 17 26 14 22 15 )
BASE: confidence: 0.54985755681991577 confidence bounds at 95%: [ 0.49780973792076111 , 0.60190540552139282 ] support: 0.054099276661872864 number of use :351 number of events to predict :3586 number of events predicted: 194 dataset range :99988.185138863177
OLD: confidence: 0.47300770878791809 confidence bounds at 95%: [ 0.42339217662811279 , 0.52262324094772339 ] support: 0.050013892352581024 number of use :389 number of events to predict :3599 number of events predicted: 180 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="676" score="-11.043664816443412" creationTime="5.9320000000000004" confidence = "0.54985755681991577" support = "0.054099276661872864" number_of_use = "351" number_of_events_to_predict = "3586" number_of_events_predicted = "194" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.051272664423804293" baseconfidence = "0.54985755681991577" basesupport = "0.054099276661872864" basenumber_of_use = "351" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "194" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.051272664423804293" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.992500000167638" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.47300770878791809" oldsupport = "0.050013892352581024" oldnumber_of_use = "389" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "180" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.056691899372704024" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.992500000167638" testexpConfidence = "-1" testexpSupport = "-1" parentId="657" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
727
similarId: *none*
base
Show/Hide
confidence: 0.34240001440048218
confidence bounds at 95%: [ 0.30519822239875793 , 0.37960180640220642 ]
support: 0.06497490406036377
number of use :625
number of events to predict :3586
number of events predicted: 233
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :2.2968907050054972e-013
density ln. v2 :8.626367853726796
dist. expected v3 :-8.6659313660314314
density v3 :1.9656536322958845e-017
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-8.4947747621179097
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-8.4947747621179346
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.32323232293128967
confidence bounds at 95%: [ 0.28840929269790649 , 0.35805535316467285 ]
support: 0.066685192286968231
number of use :693
number of events to predict :3599
number of events predicted: 240
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.592655156211348e-019
density ln. v2 :10.258777706088191
dist. expected v3 :-10.263038015654901
density v3 :5.3555266331874615e-024
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-10.025237576380169
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-10.025237576380134
cum. density train v5 :1
cum. density test v5 :1
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.076187623356834
creation time: 6.0700000000000003
#id:727
a
← r (temp) [ -3.5082499998155972 -0.0099999997764825821 ]
( 79 76 0 0 0 0 91 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.34240001440048218 confidence bounds at 95%: [ 0.30519822239875793 , 0.37960180640220642 ] support: 0.06497490406036377 number of use :625 number of events to predict :3586 number of events predicted: 233 dataset range :99988.185138863177
OLD: confidence: 0.32323232293128967 confidence bounds at 95%: [ 0.28840929269790649 , 0.35805535316467285 ] support: 0.066685192286968231 number of use :693 number of events to predict :3599 number of events predicted: 240 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="727" score="-11.076187623356834" creationTime="6.0700000000000003" confidence = "0.34240001440048218" support = "0.06497490406036377" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "233" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.34240001440048218" basesupport = "0.06497490406036377" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "233" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "3.4982500000391146" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.32323232293128967" oldsupport = "0.066685192286968231" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "240" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "3.4982500000391146" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="79"/><i v="76"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="91"/></values>
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</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="157"/><i v="127"/><i v="128"/><i v="158"/></values>
<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
701
similarId: *none*
base
Show/Hide
confidence: 0.42719998955726624
confidence bounds at 95%: [ 0.38841772079467773 , 0.46598225831985474 ]
support: 0.088957056403160095
number of use :625
number of events to predict :3586
number of events predicted: 319
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.1539247815944603
density ln. v2 :2.8270121651809439
dist. expected v3 :-4.3469027972817775
density v3 :3.1462301780270327e-005
cum. density train v3 :1
cum. density test v3 :0.99999309107517043
dist. expected v4 :-4.2610492301463099
cum. density train v4 :1
cum. density test v4 :0.99998981961222633
dist. expected v5 :-4.2610492301463223
cum. density train v5 :1
cum. density test v5 :0.99998981961222633
old
Show/Hide
confidence: 0.4516594409942627
confidence bounds at 95%: [ 0.4146067202091217 , 0.48871216177940369 ]
support: 0.098916366696357727
number of use :693
number of events to predict :3599
number of events predicted: 356
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.414170716325607
density ln. v2 :5.9918421875877401
dist. expected v3 :-3.4256462804719261
density v3 :0.0011289528552476443
cum. density train v3 :1
cum. density test v3 :0.999693280992491
dist. expected v4 :-3.3462721040289005
cum. density train v4 :1
cum. density test v4 :0.99959041477560429
dist. expected v5 :-3.346272104028889
cum. density train v5 :1
cum. density test v5 :0.99959041477560429
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.082618067653005
creation time: 5.9870000000000001
#id:701
a
← r (temp) [ -20 -4.0079999998211857 ]
( 11 4 18 8 17 6 8 16 10 12 8 11 21 14 11 11 16 12 8 11 16 13 5 12 10 10 6 6 10 7 11 16 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.42719998955726624 confidence bounds at 95%: [ 0.38841772079467773 , 0.46598225831985474 ] support: 0.088957056403160095 number of use :625 number of events to predict :3586 number of events predicted: 319 dataset range :99988.185138863177
OLD: confidence: 0.4516594409942627 confidence bounds at 95%: [ 0.4146067202091217 , 0.48871216177940369 ] support: 0.098916366696357727 number of use :693 number of events to predict :3599 number of events predicted: 356 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="701" score="-11.082618067653005" creationTime="5.9870000000000001" confidence = "0.42719998955726624" support = "0.088957056403160095" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "319" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.42719998955726624" basesupport = "0.088957056403160095" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "319" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.992000000178814" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.4516594409942627" oldsupport = "0.098916366696357727" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "356" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.992000000178814" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="11"/><i v="4"/><i v="18"/><i v="8"/><i v="17"/><i v="6"/><i v="8"/><i v="16"/><i v="10"/><i v="12"/><i v="8"/><i v="11"/><i v="21"/><i v="14"/><i v="11"/><i v="11"/><i v="16"/><i v="12"/><i v="8"/><i v="11"/><i v="16"/><i v="13"/><i v="5"/><i v="12"/><i v="10"/><i v="10"/><i v="6"/><i v="6"/><i v="10"/><i v="7"/><i v="11"/><i v="16"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="157"/><i v="127"/><i v="128"/><i v="158"/></values>
<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
30
similarId: *none*
base
Show/Hide
confidence: 0.30799999833106995
confidence bounds at 95%: [ 0.27938559651374817 , 0.33661440014839172 ]
support: 0.091187953948974609
number of use :1000
number of events to predict :3586
number of events predicted: 327
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :7.7581540497800836e-034
density ln. v2 :12.798671100169123
dist. expected v3 :-13.435591296844912
density v3 :2.5266856865844593e-040
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-12.919425076736363
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-12.919425076736433
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.30399999022483826
confidence bounds at 95%: [ 0.27548998594284058 , 0.33250999450683594 ]
support: 0.092803560197353363
number of use :1000
number of events to predict :3599
number of events predicted: 334
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.2476664522518898e-035
density ln. v2 :6.1606122105758718
dist. expected v3 :-13.733289170857075
density v3 :4.4283172001095386e-042
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-13.205162384692784
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-13.205162384692713
cum. density train v5 :1
cum. density test v5 :1
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -11.109223889698521
creation time: 3.5169999999999999
#id:30
a
← j (temp) [ -10.00499999988824 -5.0074999998323619 ]
( 31 41 41 34 48 29 31 37 26 19 )
BASE: confidence: 0.30799999833106995 confidence bounds at 95%: [ 0.27938559651374817 , 0.33661440014839172 ] support: 0.091187953948974609 number of use :1000 number of events to predict :3586 number of events predicted: 327 dataset range :99988.185138863177
OLD: confidence: 0.30399999022483826 confidence bounds at 95%: [ 0.27548998594284058 , 0.33250999450683594 ] support: 0.092803560197353363 number of use :1000 number of events to predict :3599 number of events predicted: 334 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="30" score="-11.109223889698521" creationTime="3.5169999999999999" confidence = "0.30799999833106995" support = "0.091187953948974609" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "327" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.30799999833106995" basesupport = "0.091187953948974609" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "327" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "4.9975000000558776" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.30399999022483826" oldsupport = "0.092803560197353363" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "334" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "4.9975000000558776" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
<values></values>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
230
similarId:
232
base
Show/Hide
confidence: 0.44123312830924988
confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ]
support: 0.06497490406036377
number of use :519
number of events to predict :3586
number of events predicted: 233
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :1.1695283126735909
density v1 :0.20132459554316962
cum. density train v1 :1
cum. density test v1 :0.12109548083265853
density v2 :1.3077512099612971
density ln. v2 :-4.2072577131975519
dist. expected v3 :1.0806665423519801
density v3 :0.22249322637800584
cum. density train v3 :1
cum. density test v3 :0.13992277400886366
dist. expected v4 :1.0700697343167684
cum. density train v4 :1
cum. density test v4 :0.14229399565883138
dist. expected v5 :1.0700697343167671
cum. density train v5 :1
cum. density test v5 :0.14229399565883172
old
Show/Hide
confidence: 0.40453687310218811
confidence bounds at 95%: [ 0.36271199584007263 , 0.44636175036430359 ]
support: 0.058349542319774628
number of use :529
number of events to predict :3599
number of events predicted: 210
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :4.4380925041625972
density ln. v2 :2.0095444338107251
dist. expected v3 :-0.70002455128651486
density v3 :0.31224856695371916
cum. density train v3 :1
cum. density test v3 :0.75804408288404945
dist. expected v4 :-0.69293900290135835
cum. density train v4 :1
cum. density test v4 :0.75582615264343356
dist. expected v5 :-0.69293900290135713
cum. density train v5 :1
cum. density test v5 :0.75582615264343311
parentId:
201 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.111635968558637
creation time: 4.4909999999999997
#id:230
a
← r (temp) [ -17.00149999996647 -7.0064999998547144 ]
( 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.44123312830924988 confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ] support: 0.06497490406036377 number of use :519 number of events to predict :3586 number of events predicted: 233 dataset range :99988.185138863177
OLD: confidence: 0.40453687310218811 confidence bounds at 95%: [ 0.36271199584007263 , 0.44636175036430359 ] support: 0.058349542319774628 number of use :529 number of events to predict :3599 number of events predicted: 210 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="230" score="-11.111635968558637" creationTime="4.4909999999999997" confidence = "0.44123312830924988" support = "0.06497490406036377" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "233" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.44123312830924988" basesupport = "0.06497490406036377" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "233" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "9.9950000001117552" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.40453687310218811" oldsupport = "0.058349542319774628" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "210" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "9.9950000001117552" testexpConfidence = "-1" testexpSupport = "-1" parentId="201" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="232" />
</similarId>
<distribution_first>
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<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
124
similarId: *none*
base
Show/Hide
confidence: 0.46050095558166504
confidence bounds at 95%: [ 0.41761815547943115 , 0.50338375568389893 ]
support: 0.067763522267341614
number of use :519
number of events to predict :3586
number of events predicted: 243
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :1.1025171535287854
density v1 :0.21724911899206631
cum. density train v1 :1
cum. density test v1 :0.13511849760669548
density v2 :0.42197103950385173
density ln. v2 :-4.3106250620814395
dist. expected v3 :1.0024130226996144
density v3 :0.24138684480080205
cum. density train v3 :1
cum. density test v3 :0.158072088371219
dist. expected v4 :0.99169223304495069
cum. density train v4 :1
cum. density test v4 :0.16067384718408184
dist. expected v5 :0.99169223304495213
cum. density train v5 :1
cum. density test v5 :0.1606738471840814
old
Show/Hide
confidence: 0.40831756591796875
confidence bounds at 95%: [ 0.36643129587173462 , 0.45020383596420288 ]
support: 0.060016673058271408
number of use :529
number of events to predict :3599
number of events predicted: 216
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :4.8363385481599233
density ln. v2 :4.2746051998385042
dist. expected v3 :-1.4807180540753331
density v3 :0.13329354053988363
cum. density train v3 :1
cum. density test v3 :0.93065910441463506
dist. expected v4 :-1.4643716428033233
cum. density train v4 :1
cum. density test v4 :0.92845374458950358
dist. expected v5 :-1.464371642803322
cum. density train v5 :1
cum. density test v5 :0.92845374458950336
parentId:
101 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.118987720819097
creation time: 4.2210000000000001
#id:124
a
← r (temp) [ -17.00149999996647 -4.0079999998211857 ]
( 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 0 0 0 0 0 0 9 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
BASE: confidence: 0.46050095558166504 confidence bounds at 95%: [ 0.41761815547943115 , 0.50338375568389893 ] support: 0.067763522267341614 number of use :519 number of events to predict :3586 number of events predicted: 243 dataset range :99988.185138863177
OLD: confidence: 0.40831756591796875 confidence bounds at 95%: [ 0.36643129587173462 , 0.45020383596420288 ] support: 0.060016673058271408 number of use :529 number of events to predict :3599 number of events predicted: 216 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="124" score="-11.118987720819097" creationTime="4.2210000000000001" confidence = "0.46050095558166504" support = "0.067763522267341614" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "243" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.46050095558166504" basesupport = "0.067763522267341614" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "243" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.993500000145284" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.40831756591796875" oldsupport = "0.060016673058271408" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "216" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.993500000145284" testexpConfidence = "-1" testexpSupport = "-1" parentId="101" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
646
similarId:
648
base
Show/Hide
confidence: 0.44123312830924988
confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ]
support: 0.06497490406036377
number of use :519
number of events to predict :3586
number of events predicted: 233
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :1.1695283126735909
density v1 :0.20132459554316962
cum. density train v1 :1
cum. density test v1 :0.12109548083265853
density v2 :1.3077512099612971
density ln. v2 :-4.2072577131975519
dist. expected v3 :1.0806665423519801
density v3 :0.22249322637800584
cum. density train v3 :1
cum. density test v3 :0.13992277400886366
dist. expected v4 :1.0700697343167684
cum. density train v4 :1
cum. density test v4 :0.14229399565883138
dist. expected v5 :1.0700697343167671
cum. density train v5 :1
cum. density test v5 :0.14229399565883172
old
Show/Hide
confidence: 0.40453687310218811
confidence bounds at 95%: [ 0.36271199584007263 , 0.44636175036430359 ]
support: 0.058349542319774628
number of use :529
number of events to predict :3599
number of events predicted: 210
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :4.4380925041625972
density ln. v2 :2.0095444338107251
dist. expected v3 :-0.70002455128651486
density v3 :0.31224856695371916
cum. density train v3 :1
cum. density test v3 :0.75804408288404945
dist. expected v4 :-0.69293900290135835
cum. density train v4 :1
cum. density test v4 :0.75582615264343356
dist. expected v5 :-0.69293900290135713
cum. density train v5 :1
cum. density test v5 :0.75582615264343311
parentId:
617 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -11.152182481162397
creation time: 5.8310000000000004
#id:646
a
← r (temp) [ -17.00149999996647 -7.0064999998547144 ]
( 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 16 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.44123312830924988 confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ] support: 0.06497490406036377 number of use :519 number of events to predict :3586 number of events predicted: 233 dataset range :99988.185138863177
OLD: confidence: 0.40453687310218811 confidence bounds at 95%: [ 0.36271199584007263 , 0.44636175036430359 ] support: 0.058349542319774628 number of use :529 number of events to predict :3599 number of events predicted: 210 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="646" score="-11.152182481162397" creationTime="5.8310000000000004" confidence = "0.44123312830924988" support = "0.06497490406036377" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "233" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.44123312830924988" basesupport = "0.06497490406036377" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "233" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "9.9950000001117552" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.40453687310218811" oldsupport = "0.058349542319774628" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "210" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "9.9950000001117552" testexpConfidence = "-1" testexpSupport = "-1" parentId="617" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
229
similarId:
298
base
Show/Hide
confidence: 0.44123312830924988
confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ]
support: 0.06358058750629425
number of use :519
number of events to predict :3586
number of events predicted: 228
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :1.1695283126735909
density v1 :0.20132459554316962
cum. density train v1 :1
cum. density test v1 :0.12109548083265853
density v2 :0.3972138431302048
density ln. v2 :-4.5782880386347156
dist. expected v3 :1.0715305341083643
density v3 :0.22469139950760425
cum. density train v3 :1
cum. density test v3 :0.14196551007822611
dist. expected v4 :1.0610233120108785
cum. density train v4 :1
cum. density test v4 :0.14433968562757471
dist. expected v5 :1.0610233120108774
cum. density train v5 :1
cum. density test v5 :0.14433968562757493
old
Show/Hide
confidence: 0.41965973377227783
confidence bounds at 95%: [ 0.37760466337203979 , 0.46171480417251587 ]
support: 0.059738814830780029
number of use :529
number of events to predict :3599
number of events predicted: 215
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :0.11329448799288681
density v1 :0.39639013880725771
cum. density train v1 :1
cum. density test v1 :0.45489849553370321
density v2 :0.93144329051943719
density ln. v2 :-0.43848615853786488
dist. expected v3 :-0.00023501851348301374
density v3 :0.39894226938390343
cum. density train v3 :1
cum. density test v3 :0.50009375991672056
dist. expected v4 :-0.00023263968970371767
cum. density train v4 :1
cum. density test v4 :0.50009281089734858
dist. expected v5 :-0.00023263968970371727
cum. density train v5 :1
cum. density test v5 :0.50009281089734858
parentId:
201 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.155021474234907
creation time: 4.4870000000000001
#id:229
a
← r (temp) [ -17.50124999997206 -7.5062499998603016 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.44123312830924988 confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ] support: 0.06358058750629425 number of use :519 number of events to predict :3586 number of events predicted: 228 dataset range :99988.185138863177
OLD: confidence: 0.41965973377227783 confidence bounds at 95%: [ 0.37760466337203979 , 0.46171480417251587 ] support: 0.059738814830780029 number of use :529 number of events to predict :3599 number of events predicted: 215 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="229" score="-11.155021474234907" creationTime="4.4870000000000001" confidence = "0.44123312830924988" support = "0.06358058750629425" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "228" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.44123312830924988" basesupport = "0.06358058750629425" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "228" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "9.9950000001117587" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.41965973377227783" oldsupport = "0.059738814830780029" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "215" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "9.9950000001117587" testexpConfidence = "-1" testexpSupport = "-1" parentId="201" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
607
similarId: *none*
base
Show/Hide
confidence: 0.46050095558166504
confidence bounds at 95%: [ 0.41761815547943115 , 0.50338375568389893 ]
support: 0.067763522267341614
number of use :519
number of events to predict :3586
number of events predicted: 243
dataset range :99988.185138863177
rule range :15.992000000178811
exp. confidence :0.43649932842143668
exp. support :0.079662589976281173
std. error exp. confidence :0.021769844653579534
std. error exp. support :0.0045216360864899444
dist. expected v1 :1.1025171535287854
density v1 :0.21724911899206631
cum. density train v1 :1
cum. density test v1 :0.13511849760669548
density v2 :0.42197103950385173
density ln. v2 :-4.3106250620814395
dist. expected v3 :1.0024130226996144
density v3 :0.24138684480080205
cum. density train v3 :1
cum. density test v3 :0.158072088371219
dist. expected v4 :0.99169223304495069
cum. density train v4 :1
cum. density test v4 :0.16067384718408184
dist. expected v5 :0.99169223304495213
cum. density train v5 :1
cum. density test v5 :0.1606738471840814
old
Show/Hide
confidence: 0.40831756591796875
confidence bounds at 95%: [ 0.36643129587173462 , 0.45020383596420288 ]
support: 0.060016673058271408
number of use :529
number of events to predict :3599
number of events predicted: 216
dataset range :99936.387513848851
rule range :15.992000000178811
exp. confidence :0.43783761003385313
exp. support :0.081173808813060244
std. error exp. confidence :0.021570469086768723
std. error exp. support :0.0045523298455865191
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :4.8363385481599233
density ln. v2 :4.2746051998385042
dist. expected v3 :-1.4807180540753331
density v3 :0.13329354053988363
cum. density train v3 :1
cum. density test v3 :0.93065910441463506
dist. expected v4 :-1.4643716428033233
cum. density train v4 :1
cum. density test v4 :0.92845374458950358
dist. expected v5 :-1.464371642803322
cum. density train v5 :1
cum. density test v5 :0.92845374458950336
parentId:
584 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -11.159534233422857
creation time: 5.7210000000000001
#id:607
a
← r (temp) [ -17.00149999996647 -4.0079999998211857 ]
( 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 0 0 0 0 0 0 9 15 22 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 36 34 27 25 37 36 35 33 33 31 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.46050095558166504 confidence bounds at 95%: [ 0.41761815547943115 , 0.50338375568389893 ] support: 0.067763522267341614 number of use :519 number of events to predict :3586 number of events predicted: 243 dataset range :99988.185138863177
OLD: confidence: 0.40831756591796875 confidence bounds at 95%: [ 0.36643129587173462 , 0.45020383596420288 ] support: 0.060016673058271408 number of use :529 number of events to predict :3599 number of events predicted: 216 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="607" score="-11.159534233422857" creationTime="5.7210000000000001" confidence = "0.46050095558166504" support = "0.067763522267341614" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "243" datasetrange = "99988.185138863177" rulerange = "15.992000000178811" expConfidence = "0.43649932842143668" expSupport = "0.079662589976281173" baseconfidence = "0.46050095558166504" basesupport = "0.067763522267341614" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "243" basedatasetrange = "99988.185138863177" baserulerange = "15.992000000178811" baseexpConfidence = "0.43649932842143668" baseexpSupport = "0.079662589976281173" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.993500000145284" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.40831756591796875" oldsupport = "0.060016673058271408" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "216" olddatasetrange = "99936.387513848851" oldrulerange = "15.992000000178811" oldexpConfidence = "0.43783761003385313" oldexpSupport = "0.081173808813060244" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.993500000145284" testexpConfidence = "-1" testexpSupport = "-1" parentId="584" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
645
similarId: *none*
base
Show/Hide
confidence: 0.44123312830924988
confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ]
support: 0.06358058750629425
number of use :519
number of events to predict :3586
number of events predicted: 228
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :1.1695283126735909
density v1 :0.20132459554316962
cum. density train v1 :1
cum. density test v1 :0.12109548083265853
density v2 :0.3972138431302048
density ln. v2 :-4.5782880386347156
dist. expected v3 :1.0715305341083643
density v3 :0.22469139950760425
cum. density train v3 :1
cum. density test v3 :0.14196551007822611
dist. expected v4 :1.0610233120108785
cum. density train v4 :1
cum. density test v4 :0.14433968562757471
dist. expected v5 :1.0610233120108774
cum. density train v5 :1
cum. density test v5 :0.14433968562757493
old
Show/Hide
confidence: 0.41965973377227783
confidence bounds at 95%: [ 0.37760466337203979 , 0.46171480417251587 ]
support: 0.059738814830780029
number of use :529
number of events to predict :3599
number of events predicted: 215
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :0.11329448799288681
density v1 :0.39639013880725771
cum. density train v1 :1
cum. density test v1 :0.45489849553370321
density v2 :0.93144329051943719
density ln. v2 :-0.43848615853786488
dist. expected v3 :-0.00023501851348301374
density v3 :0.39894226938390343
cum. density train v3 :1
cum. density test v3 :0.50009375991672056
dist. expected v4 :-0.00023263968970371767
cum. density train v4 :1
cum. density test v4 :0.50009281089734858
dist. expected v5 :-0.00023263968970371727
cum. density train v5 :1
cum. density test v5 :0.50009281089734858
parentId:
617 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -11.195567986838666
creation time: 5.8310000000000004
#id:645
a
← r (temp) [ -17.50124999997206 -7.5062499998603016 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.44123312830924988 confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ] support: 0.06358058750629425 number of use :519 number of events to predict :3586 number of events predicted: 228 dataset range :99988.185138863177
OLD: confidence: 0.41965973377227783 confidence bounds at 95%: [ 0.37760466337203979 , 0.46171480417251587 ] support: 0.059738814830780029 number of use :529 number of events to predict :3599 number of events predicted: 215 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="645" score="-11.195567986838666" creationTime="5.8310000000000004" confidence = "0.44123312830924988" support = "0.06358058750629425" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "228" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.44123312830924988" basesupport = "0.06358058750629425" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "228" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "9.9950000001117587" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.41965973377227783" oldsupport = "0.059738814830780029" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "215" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "9.9950000001117587" testexpConfidence = "-1" testexpSupport = "-1" parentId="617" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
567
similarId: *none*
base
Show/Hide
confidence: 0.43737956881523132
confidence bounds at 95%: [ 0.3947010338306427 , 0.48005810379981995 ]
support: 0.06302286684513092
number of use :519
number of events to predict :3586
number of events predicted: 226
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :3.0565524691364256
density v1 :0.00373429948764408
cum. density train v1 :0.99999999981371657
cum. density test v1 :0.0011195604129263792
density v2 :0.0040345819676398829
density ln. v2 :-12.48893383399237
dist. expected v3 :2.9791367529831074
density v3 :0.0047170747414004089
cum. density train v3 :0.99999999999972677
cum. density test v3 :0.0014453777647218669
dist. expected v4 :2.9549177529773565
cum. density train v4 :0.99999999999997458
cum. density test v4 :0.0015638307527803263
dist. expected v5 :2.9549177529773529
cum. density train v5 :0.99999999999997458
cum. density test v5 :0.0015638307527803263
old
Show/Hide
confidence: 0.39130434393882751
confidence bounds at 95%: [ 0.34971466660499573 , 0.4328940212726593 ]
support: 0.055848848074674606
number of use :529
number of events to predict :3599
number of events predicted: 201
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :0.83578809326308101
density v1 :0.28133492890000944
cum. density train v1 :1
cum. density test v1 :0.20163701218037289
density v2 :2.8388273282572287
density ln. v2 :-2.922903878360148
dist. expected v3 :0.74545303461538248
density v3 :0.30216300770491933
cum. density train v3 :1
cum. density test v3 :0.2279988782275606
dist. expected v4 :0.73919735718968493
cum. density train v4 :1
cum. density test v4 :0.22989351395100099
dist. expected v5 :0.73919735718968382
cum. density train v5 :1
cum. density test v5 :0.22989351395100133
parentId:
546 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -11.196983318244573
creation time: 5.6109999999999998
#id:567
a
← r (temp) [ -18.000999999977651 -8.5057499998714778 ]
( 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.43737956881523132 confidence bounds at 95%: [ 0.3947010338306427 , 0.48005810379981995 ] support: 0.06302286684513092 number of use :519 number of events to predict :3586 number of events predicted: 226 dataset range :99988.185138863177
OLD: confidence: 0.39130434393882751 confidence bounds at 95%: [ 0.34971466660499573 , 0.4328940212726593 ] support: 0.055848848074674606 number of use :529 number of events to predict :3599 number of events predicted: 201 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="567" score="-11.196983318244573" creationTime="5.6109999999999998" confidence = "0.43737956881523132" support = "0.06302286684513092" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "226" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.43737956881523132" basesupport = "0.06302286684513092" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "226" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "9.4952500001061733" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.39130434393882751" oldsupport = "0.055848848074674606" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "201" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "9.4952500001061733" testexpConfidence = "-1" testexpSupport = "-1" parentId="546" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
532
similarId: *none*
base
Show/Hide
confidence: 0.25840538740158081
confidence bounds at 95%: [ 0.23181253671646118 , 0.28499823808670044 ]
support: 0.07027328759431839
number of use :1041
number of events to predict :3586
number of events predicted: 252
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.8690589081890061e-056
density ln. v2 :32.221970210457826
dist. expected v3 :-17.116598573511478
density v3 :9.5842310410871935e-065
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-16.426468337653382
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-16.426468337653471
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.27263778448104858
confidence bounds at 95%: [ 0.2452549934387207 , 0.30002057552337646 ]
support: 0.074742987751960754
number of use :1016
number of events to predict :3599
number of events predicted: 269
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :2.6509646556384543e-049
density ln. v2 :26.615437467839218
dist. expected v3 :-16.031198422593388
density v3 :6.2261012552335681e-057
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-15.40267524412363
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-15.402675244123545
cum. density train v5 :1
cum. density test v5 :1
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.197909652801174
creation time: 5.4359999999999999
#id:532
a
← r (temp) [ -4.0079999998211857 -2.5087499998044218 ]
( 76 116 93 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.25840538740158081 confidence bounds at 95%: [ 0.23181253671646118 , 0.28499823808670044 ] support: 0.07027328759431839 number of use :1041 number of events to predict :3586 number of events predicted: 252 dataset range :99988.185138863177
OLD: confidence: 0.27263778448104858 confidence bounds at 95%: [ 0.2452549934387207 , 0.30002057552337646 ] support: 0.074742987751960754 number of use :1016 number of events to predict :3599 number of events predicted: 269 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="532" score="-11.197909652801174" creationTime="5.4359999999999999" confidence = "0.25840538740158081" support = "0.07027328759431839" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "252" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.25840538740158081" basesupport = "0.07027328759431839" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "252" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167639" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.27263778448104858" oldsupport = "0.074742987751960754" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "269" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167639" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
705
similarId:
708 ,
711
base
Show/Hide
confidence: 0.41920000314712524
confidence bounds at 95%: [ 0.38051524758338928 , 0.45788475871086121 ]
support: 0.085052981972694397
number of use :625
number of events to predict :3586
number of events predicted: 305
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.020107695120694789
density ln. v2 :4.5651319542704263
dist. expected v3 :-4.7682455829850836
density v3 :4.6112042796943103e-006
cum. density train v3 :1
cum. density test v3 :0.99999906965398666
dist. expected v4 :-4.6740702790115982
cum. density train v4 :1
cum. density test v4 :0.99999852189548177
dist. expected v5 :-4.6740702790116115
cum. density train v5 :1
cum. density test v5 :0.99999852189548177
old
Show/Hide
confidence: 0.44155845046043396
confidence bounds at 95%: [ 0.40458649396896362 , 0.4785304069519043 ]
support: 0.096693523228168488
number of use :693
number of events to predict :3599
number of events predicted: 348
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.29171841771945262
density ln. v2 :6.3585845847490976
dist. expected v3 :-3.9603648159220821
density v3 :0.0001566990813960861
cum. density train v3 :1
cum. density test v3 :0.99996256589316812
dist. expected v4 :-3.8686009063002036
cum. density train v4 :1
cum. density test v4 :0.99994524845694999
dist. expected v5 :-3.8686009063001898
cum. density train v5 :1
cum. density test v5 :0.99994524845694999
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.216245078872117
creation time: 6.0069999999999997
#id:705
a
← r (temp) [ -20 -4.5077499998267747 ]
( 11 4 18 8 17 6 8 16 10 12 8 11 21 14 11 11 16 12 8 11 16 13 5 12 10 10 6 6 10 7 11 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.41920000314712524 confidence bounds at 95%: [ 0.38051524758338928 , 0.45788475871086121 ] support: 0.085052981972694397 number of use :625 number of events to predict :3586 number of events predicted: 305 dataset range :99988.185138863177
OLD: confidence: 0.44155845046043396 confidence bounds at 95%: [ 0.40458649396896362 , 0.4785304069519043 ] support: 0.096693523228168488 number of use :693 number of events to predict :3599 number of events predicted: 348 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="705" score="-11.216245078872117" creationTime="6.0069999999999997" confidence = "0.41920000314712524" support = "0.085052981972694397" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "305" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.41920000314712524" basesupport = "0.085052981972694397" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "305" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "15.492250000173225" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.44155845046043396" oldsupport = "0.096693523228168488" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "348" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "15.492250000173225" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="708" />
<i v="711" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
574
similarId: *none*
base
Show/Hide
confidence: 0.43545278906822205
confidence bounds at 95%: [ 0.39279550313949585 , 0.47811007499694824 ]
support: 0.061349693685770035
number of use :519
number of events to predict :3586
number of events predicted: 220
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :2.965761494153127
density v1 :0.0049083906865972343
cum. density train v1 :0.99999999999992473
cum. density test v1 :0.0015097415987583851
density v2 :0.0015188453077877564
density ln. v2 :-12.993860232222767
dist. expected v3 :2.8790320321681997
density v3 :0.0063243295225334411
cum. density train v3 :1
cum. density test v3 :0.0019945549986920552
dist. expected v4 :2.8556268371116724
cum. density train v4 :1
cum. density test v4 :0.0021476627273602222
dist. expected v5 :2.8556268371116693
cum. density train v5 :1
cum. density test v5 :0.0021476627273602222
old
Show/Hide
confidence: 0.39886578917503357
confidence bounds at 95%: [ 0.35713779926300049 , 0.44059377908706665 ]
support: 0.056404557079076767
number of use :529
number of events to predict :3599
number of events predicted: 203
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :1.1952677036300423
density v1 :0.19528974042309799
cum. density train v1 :1
cum. density test v1 :0.11599129114767903
density v2 :0.71944147961444627
density ln. v2 :-4.5113253865627412
dist. expected v3 :1.1011315365865102
density v3 :0.21758104794435768
cum. density train v3 :1
cum. density test v3 :0.13541975122784755
dist. expected v4 :1.0918910836320168
cum. density train v4 :1
cum. density test v4 :0.13744053054674588
dist. expected v5 :1.0918910836320153
cum. density train v5 :1
cum. density test v5 :0.13744053054674632
parentId:
546 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -11.268459300910589
creation time: 5.6230000000000002
#id:574
a
← r (temp) [ -17.50124999997206 -8.0059999998658888 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.43545278906822205 confidence bounds at 95%: [ 0.39279550313949585 , 0.47811007499694824 ] support: 0.061349693685770035 number of use :519 number of events to predict :3586 number of events predicted: 220 dataset range :99988.185138863177
OLD: confidence: 0.39886578917503357 confidence bounds at 95%: [ 0.35713779926300049 , 0.44059377908706665 ] support: 0.056404557079076767 number of use :529 number of events to predict :3599 number of events predicted: 203 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="574" score="-11.268459300910589" creationTime="5.6230000000000002" confidence = "0.43545278906822205" support = "0.061349693685770035" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "220" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.43545278906822205" basesupport = "0.061349693685770035" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "220" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "9.4952500001061715" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.39886578917503357" oldsupport = "0.056404557079076767" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "203" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "9.4952500001061715" testexpConfidence = "-1" testexpSupport = "-1" parentId="546" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="53"/><i v="53"/><i v="50"/><i v="45"/><i v="52"/><i v="45"/><i v="56"/><i v="57"/><i v="43"/><i v="50"/><i v="48"/><i v="47"/><i v="45"/><i v="39"/><i v="51"/><i v="47"/><i v="55"/><i v="47"/><i v="44"/><i v="48"/></values>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
393
similarId: *none*
base
Show/Hide
confidence: 0.25412961840629578
confidence bounds at 95%: [ 0.22371180355548859 , 0.28454744815826416 ]
support: 0.056887898594141006
number of use :787
number of events to predict :3586
number of events predicted: 204
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :16.135315569999982
density v1 :1.1667329537509309e-057
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.2402286122721567e-028
density ln. v2 :-23.717412074379659
dist. expected v3 :11.845988426481592
density v3 :1.3464593580907486e-031
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :11.803350643137804
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :11.803350643137705
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.28762134909629822
confidence bounds at 95%: [ 0.25671422481536865 , 0.31852847337722778 ]
support: 0.068908028304576874
number of use :824
number of events to predict :3599
number of events predicted: 248
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :20.967168174417793
density v1 :1.3745958588301433e-096
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.3795070071714145e-047
density ln. v2 :-31.496427694116946
dist. expected v3 :15.072600020602282
density v3 :1.8564766664157169e-050
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :15.014330860133413
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :15.014330860133626
cum. density train v5 :0
cum. density test v5 :0
parentId:
379 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.281803446670551
creation time: 4.9569999999999999
#id:393
a
← r (temp) [ -2.008999999798835 -1.009499999787657 ]
( 110 106 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.25412961840629578 confidence bounds at 95%: [ 0.22371180355548859 , 0.28454744815826416 ] support: 0.056887898594141006 number of use :787 number of events to predict :3586 number of events predicted: 204 dataset range :99988.185138863177
OLD: confidence: 0.28762134909629822 confidence bounds at 95%: [ 0.25671422481536865 , 0.31852847337722778 ] support: 0.068908028304576874 number of use :824 number of events to predict :3599 number of events predicted: 248 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="393" score="-11.281803446670551" creationTime="4.9569999999999999" confidence = "0.25412961840629578" support = "0.056887898594141006" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "204" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.25412961840629578" basesupport = "0.056887898594141006" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "204" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.999500000011178" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.28762134909629822" oldsupport = "0.068908028304576874" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "248" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.999500000011178" testexpConfidence = "-1" testexpSupport = "-1" parentId="379" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="110"/><i v="106"/></values>
<bounds><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
365
similarId:
400 ,
441 ,
491
base
Show/Hide
confidence: 0.25412961840629578
confidence bounds at 95%: [ 0.22371180355548859 , 0.28454744815826416 ]
support: 0.056887898594141006
number of use :787
number of events to predict :3586
number of events predicted: 204
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :19.399593551868715
density v1 :7.5648248662834222e-083
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.4738700141994004e-041
density ln. v2 :-30.411138205746042
dist. expected v3 :14.110842963806226
density v3 :2.3091072637640661e-044
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :14.067708483287722
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :14.06770848328749
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.28762134909629822
confidence bounds at 95%: [ 0.25671422481536865 , 0.31852847337722778 ]
support: 0.068908028304576874
number of use :824
number of events to predict :3599
number of events predicted: 248
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :24.632758262901703
density v1 :6.948244347033656e-133
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.7040185827459941e-065
density ln. v2 :-39.564038701835095
dist. expected v3 :17.586796586787006
density v3 :2.7432427276267577e-068
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :17.529046402338597
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :17.529046402338743
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.281803446670551
creation time: 4.8220000000000001
#id:365
a
← r (temp) [ -2.008999999798835 -1.009499999787657 ]
( 110 106 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.25412961840629578 confidence bounds at 95%: [ 0.22371180355548859 , 0.28454744815826416 ] support: 0.056887898594141006 number of use :787 number of events to predict :3586 number of events predicted: 204 dataset range :99988.185138863177
OLD: confidence: 0.28762134909629822 confidence bounds at 95%: [ 0.25671422481536865 , 0.31852847337722778 ] support: 0.068908028304576874 number of use :824 number of events to predict :3599 number of events predicted: 248 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="365" score="-11.281803446670551" creationTime="4.8220000000000001" confidence = "0.25412961840629578" support = "0.056887898594141006" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "204" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.25412961840629578" basesupport = "0.056887898594141006" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "204" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.999500000011178" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.28762134909629822" oldsupport = "0.068908028304576874" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "248" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.999500000011178" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="400" />
<i v="441" />
<i v="491" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="110"/><i v="106"/></values>
<bounds><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="111"/><i v="114"/><i v="93"/><i v="95"/><i v="121"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
476
similarId: *none*
base
Show/Hide
confidence: 0.27318933606147766
confidence bounds at 95%: [ 0.24205702543258667 , 0.30432164669036865 ]
support: 0.059955380856990814
number of use :787
number of events to predict :3586
number of events predicted: 215
dataset range :99988.185138863177
rule range :3.9980000000447031
exp. confidence :0.13358224221953852
exp. support :0.030978623568891805
std. error exp. confidence :0.012126924415755099
std. error exp. support :0.0028932941898482563
dist. expected v1 :15.258864047104286
density v1 :1.1012382246362359e-051
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.2342292560729063e-027
density ln. v2 :-30.548670937001908
dist. expected v3 :11.483463415744939
density v3 :9.2409828240888134e-030
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :11.43578780232902
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :11.435787802329152
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.27427184581756592
confidence bounds at 95%: [ 0.24380902945995331 , 0.30473467707633972 ]
support: 0.06307307630777359
number of use :824
number of events to predict :3599
number of events predicted: 227
dataset range :99936.387513848851
rule range :3.9980000000447031
exp. confidence :0.13409708930982212
exp. support :0.032427720068249899
std. error exp. confidence :0.011870818627580096
std. error exp. support :0.0029526297629750673
dist. expected v1 :15.721348720275692
density v1 :8.5236000204663318e-055
cum. density train v1 :0
cum. density test v1 :0
density v2 :8.0105934272794786e-029
density ln. v2 :-30.776626154868588
dist. expected v3 :11.781811321570414
density v3 :2.873872263343457e-031
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :11.729282904008958
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :11.729282904008953
cum. density train v5 :0
cum. density test v5 :0
parentId:
474 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.292949974151272
creation time: 5.2720000000000002
#id:476
a
← r (temp) [ -4.0079999998211857 -2.5087499998044218 ]
( 48 97 89 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 130 114 108 139 )
BASE: confidence: 0.27318933606147766 confidence bounds at 95%: [ 0.24205702543258667 , 0.30432164669036865 ] support: 0.059955380856990814 number of use :787 number of events to predict :3586 number of events predicted: 215 dataset range :99988.185138863177
OLD: confidence: 0.27427184581756592 confidence bounds at 95%: [ 0.24380902945995331 , 0.30473467707633972 ] support: 0.06307307630777359 number of use :824 number of events to predict :3599 number of events predicted: 227 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="476" score="-11.292949974151272" creationTime="5.2720000000000002" confidence = "0.27318933606147766" support = "0.059955380856990814" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "215" datasetrange = "99988.185138863177" rulerange = "3.9980000000447031" expConfidence = "0.13358224221953852" expSupport = "0.030978623568891805" baseconfidence = "0.27318933606147766" basesupport = "0.059955380856990814" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "215" basedatasetrange = "99988.185138863177" baserulerange = "3.9980000000447031" baseexpConfidence = "0.13358224221953852" baseexpSupport = "0.030978623568891805" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167639" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.27427184581756592" oldsupport = "0.06307307630777359" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "227" olddatasetrange = "99936.387513848851" oldrulerange = "3.9980000000447031" oldexpConfidence = "0.13409708930982212" oldexpSupport = "0.032427720068249899" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167639" testexpConfidence = "-1" testexpSupport = "-1" parentId="474" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="48"/><i v="97"/><i v="89"/></values>
<bounds><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="132"/><i v="130"/><i v="114"/><i v="108"/><i v="139"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
714
similarId: *none*
base
Show/Hide
confidence: 0.41760000586509705
confidence bounds at 95%: [ 0.37893599271774292 , 0.45626401901245117 ]
support: 0.084216393530368805
number of use :625
number of events to predict :3586
number of events predicted: 302
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.0128222625362327
density ln. v2 :4.9947466149499542
dist. expected v3 :-4.8529859779249769
density v3 :3.0674161853531405e-006
cum. density train v3 :1
cum. density test v3 :0.99999939108854008
dist. expected v4 :-4.7571370075445474
cum. density train v4 :1
cum. density test v4 :0.99999901699910709
dist. expected v5 :-4.7571370075445607
cum. density train v5 :1
cum. density test v5 :0.99999901699910709
old
Show/Hide
confidence: 0.43578642606735229
confidence bounds at 95%: [ 0.39886757731437683 , 0.47270527482032776 ]
support: 0.096415668725967407
number of use :693
number of events to predict :3599
number of events predicted: 347
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.13375325754879638
density ln. v2 :5.7817633466486855
dist. expected v3 :-4.2562157849053888
density v3 :4.6473656302305871e-005
cum. density train v3 :1
cum. density test v3 :0.99998959717466951
dist. expected v4 :-4.1575968397397682
cum. density train v4 :1
cum. density test v4 :0.99998390987267038
dist. expected v5 :-4.157596839739754
cum. density train v5 :1
cum. density test v5 :0.99998390987267038
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.313831086793392
creation time: 6.0359999999999996
#id:714
a
← r (temp) [ -20 -3.5082499998155972 ]
( 11 0 0 8 17 0 8 16 10 12 8 11 21 14 11 11 16 12 8 11 16 13 5 12 10 10 6 0 10 0 11 0 39 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.41760000586509705 confidence bounds at 95%: [ 0.37893599271774292 , 0.45626401901245117 ] support: 0.084216393530368805 number of use :625 number of events to predict :3586 number of events predicted: 302 dataset range :99988.185138863177
OLD: confidence: 0.43578642606735229 confidence bounds at 95%: [ 0.39886757731437683 , 0.47270527482032776 ] support: 0.096415668725967407 number of use :693 number of events to predict :3599 number of events predicted: 347 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="714" score="-11.313831086793392" creationTime="6.0359999999999996" confidence = "0.41760000586509705" support = "0.084216393530368805" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "302" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.41760000586509705" basesupport = "0.084216393530368805" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "302" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "16.491750000184403" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.43578642606735229" oldsupport = "0.096415668725967407" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "347" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "16.491750000184403" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="11"/><i v="0"/><i v="0"/><i v="8"/><i v="17"/><i v="0"/><i v="8"/><i v="16"/><i v="10"/><i v="12"/><i v="8"/><i v="11"/><i v="21"/><i v="14"/><i v="11"/><i v="11"/><i v="16"/><i v="12"/><i v="8"/><i v="11"/><i v="16"/><i v="13"/><i v="5"/><i v="12"/><i v="10"/><i v="10"/><i v="6"/><i v="0"/><i v="10"/><i v="0"/><i v="11"/><i v="0"/><i v="39"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="157"/><i v="127"/><i v="128"/><i v="158"/></values>
<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
471
similarId: *none*
base
Show/Hide
confidence: 0.23814541101455688
confidence bounds at 95%: [ 0.21104472875595093 , 0.26524609327316284 ]
support: 0.06358058750629425
number of use :949
number of events to predict :3586
number of events predicted: 228
dataset range :99988.185138863177
rule range :1.499250000016765
exp. confidence :0.052349827241910618
exp. support :0.01412890713455861
std. error exp. confidence :0.0072301705735265676
std. error exp. support :0.0019708755827479202
dist. expected v1 :35.915439026238715
density v1 :3.1521740027392367e-281
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.3402800453859229e-142
density ln. v2 :-76.559506475837594
dist. expected v3 :25.706931246291767
density v3 :1.2587986416848274e-144
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :25.655779124383695
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :25.655779124384857
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.29503107070922852
confidence bounds at 95%: [ 0.26627123355865479 , 0.32379090785980225 ]
support: 0.085301473736763
number of use :966
number of events to predict :3599
number of events predicted: 307
dataset range :99936.387513848851
rule range :1.499250000016765
exp. confidence :0.052561032530939023
exp. support :0.014387577624102366
std. error exp. confidence :0.0071799100317768991
std. error exp. support :0.0019849793853794649
dist. expected v1 :49.16044044013691
density v1 :0
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.5014171173101467e-245
density ln. v2 :-72.582866411708409
dist. expected v3 :33.974026744659376
density v3 :9.1637756065209955e-252
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :33.904694016710607
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :33.904694016710764
cum. density train v5 :0
cum. density test v5 :0
parentId:
469 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.319203692337055
creation time: 5.2489999999999997
#id:471
a
← r (temp) [ -1.509249999793248 -0.50974999978206981 ]
( 119 122 )
← r (temp) [ -3.4917500001844028 -0.49025000021793019 ]
( 59 71 72 49 48 59 )
BASE: confidence: 0.23814541101455688 confidence bounds at 95%: [ 0.21104472875595093 , 0.26524609327316284 ] support: 0.06358058750629425 number of use :949 number of events to predict :3586 number of events predicted: 228 dataset range :99988.185138863177
OLD: confidence: 0.29503107070922852 confidence bounds at 95%: [ 0.26627123355865479 , 0.32379090785980225 ] support: 0.085301473736763 number of use :966 number of events to predict :3599 number of events predicted: 307 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="471" score="-11.319203692337055" creationTime="5.2489999999999997" confidence = "0.23814541101455688" support = "0.06358058750629425" number_of_use = "949" number_of_events_to_predict = "3586" number_of_events_predicted = "228" datasetrange = "99988.185138863177" rulerange = "1.499250000016765" expConfidence = "0.052349827241910618" expSupport = "0.01412890713455861" baseconfidence = "0.23814541101455688" basesupport = "0.06358058750629425" basenumber_of_use = "949" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "228" basedatasetrange = "99988.185138863177" baserulerange = "1.499250000016765" baseexpConfidence = "0.052349827241910618" baseexpSupport = "0.01412890713455861" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.99950000001117822" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.29503107070922852" oldsupport = "0.085301473736763" oldnumber_of_use = "966" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "307" olddatasetrange = "99936.387513848851" oldrulerange = "1.499250000016765" oldexpConfidence = "0.052561032530939023" oldexpSupport = "0.014387577624102366" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.99950000001117822" testexpConfidence = "-1" testexpSupport = "-1" parentId="469" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
157
similarId: *none*
base
Show/Hide
confidence: 0.43737956881523132
confidence bounds at 95%: [ 0.3947010338306427 , 0.48005810379981995 ]
support: 0.063301727175712585
number of use :519
number of events to predict :3586
number of events predicted: 227
dataset range :99988.185138863177
rule range :14.492750000162051
exp. confidence :0.40536594600772557
exp. support :0.07247145874086236
std. error exp. confidence :0.021550871653530642
std. error exp. support :0.0043295424295029259
dist. expected v1 :1.4854908572693861
density v1 :0.13235334500175902
cum. density train v1 :1
cum. density test v1 :0.068706955559586391
density v2 :0.37363553158095442
density ln. v2 :-5.6849439303671172
dist. expected v3 :1.3946953898212326
density v3 :0.15084142668058023
cum. density train v3 :1
cum. density test v3 :0.08155391346826435
dist. expected v4 :1.3816212390167661
cum. density train v4 :1
cum. density test v4 :0.083544072594337937
dist. expected v5 :1.3816212390167624
cum. density train v5 :1
cum. density test v5 :0.083544072594338492
old
Show/Hide
confidence: 0.39508506655693054
confidence bounds at 95%: [ 0.35342493653297424 , 0.43674519658088684 ]
support: 0.059183105826377869
number of use :529
number of events to predict :3599
number of events predicted: 213
dataset range :99936.387513848851
rule range :14.492750000162051
exp. confidence :0.40664590364355047
exp. support :0.073851797522660467
std. error exp. confidence :0.021356856882614576
std. error exp. support :0.0043594314795037245
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :32.6141235212216
density ln. v2 :1.4947930013439001
dist. expected v3 :-0.62868971993039069
density v3 :0.32740284802155872
cum. density train v3 :1
cum. density test v3 :0.73522395233475724
dist. expected v4 :-0.62260626268265173
cum. density train v4 :1
cum. density test v4 :0.7332284080189917
dist. expected v5 :-0.6226062626826534
cum. density train v5 :1
cum. density test v5 :0.73322840801899236
parentId:
134 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.338662925582234
creation time: 4.2889999999999997
#id:157
a
← r (temp) [ -17.50124999997206 -6.0069999998435382 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 0 0 0 17 12 9 16 14 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 32 25 23 35 34 32 31 30 30 )
BASE: confidence: 0.43737956881523132 confidence bounds at 95%: [ 0.3947010338306427 , 0.48005810379981995 ] support: 0.063301727175712585 number of use :519 number of events to predict :3586 number of events predicted: 227 dataset range :99988.185138863177
OLD: confidence: 0.39508506655693054 confidence bounds at 95%: [ 0.35342493653297424 , 0.43674519658088684 ] support: 0.059183105826377869 number of use :529 number of events to predict :3599 number of events predicted: 213 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="157" score="-11.338662925582234" creationTime="4.2889999999999997" confidence = "0.43737956881523132" support = "0.063301727175712585" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "227" datasetrange = "99988.185138863177" rulerange = "14.492750000162051" expConfidence = "0.40536594600772557" expSupport = "0.07247145874086236" baseconfidence = "0.43737956881523132" basesupport = "0.063301727175712585" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "227" basedatasetrange = "99988.185138863177" baserulerange = "14.492750000162051" baseexpConfidence = "0.40536594600772557" baseexpSupport = "0.07247145874086236" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.494250000128522" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.39508506655693054" oldsupport = "0.059183105826377869" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "213" olddatasetrange = "99936.387513848851" oldrulerange = "14.492750000162051" oldexpConfidence = "0.40664590364355047" oldexpSupport = "0.073851797522660467" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.494250000128522" testexpConfidence = "-1" testexpSupport = "-1" parentId="134" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
301
similarId: *none*
base
Show/Hide
confidence: 0.43737956881523132
confidence bounds at 95%: [ 0.3947010338306427 , 0.48005810379981995 ]
support: 0.063301727175712585
number of use :519
number of events to predict :3586
number of events predicted: 227
dataset range :99988.185138863177
rule range :13.99300000015646
exp. confidence :0.39461060017506044
exp. support :0.070061974395799642
std. error exp. confidence :0.021454485336386147
std. error exp. support :0.0042624867953882789
dist. expected v1 :1.9934744632459687
density v1 :0.054699060182355451
cum. density train v1 :1
cum. density test v1 :0.023104689403877554
density v2 :0.12490211533528831
density ln. v2 :-7.7490030634640146
dist. expected v3 :1.9079064009248685
density v3 :0.064635469813906429
cum. density train v3 :1
cum. density test v3 :0.028201590887253047
dist. expected v4 :1.8908286439290458
cum. density train v4 :1
cum. density test v4 :0.029323546006600809
dist. expected v5 :1.8908286439290474
cum. density train v5 :1
cum. density test v5 :0.029323546006600698
old
Show/Hide
confidence: 0.39508506655693054
confidence bounds at 95%: [ 0.35342493653297424 , 0.43674519658088684 ]
support: 0.059183105826377869
number of use :529
number of events to predict :3599
number of events predicted: 213
dataset range :99936.387513848851
rule range :13.99300000015646
exp. confidence :0.39586881724568057
exp. support :0.071398208288108167
std. error exp. confidence :0.021262456452656377
std. error exp. support :0.004292076875711516
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :34.123208920508354
density ln. v2 :0.10338462912975525
dist. expected v3 :-0.11873730169161266
density v3 :0.39613991611413291
cum. density train v3 :1
cum. density test v3 :0.54725830227247318
dist. expected v4 :-0.11764020761391505
cum. density train v4 :1
cum. density test v4 :0.54682367215193017
dist. expected v5 :-0.11764020761391474
cum. density train v5 :1
cum. density test v5 :0.54682367215192984
parentId:
280 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.338662925582234
creation time: 4.6870000000000003
#id:301
a
← r (temp) [ -17.50124999997206 -6.0069999998435382 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 0 0 0 17 12 9 16 14 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 31 24 22 34 31 32 29 29 30 )
BASE: confidence: 0.43737956881523132 confidence bounds at 95%: [ 0.3947010338306427 , 0.48005810379981995 ] support: 0.063301727175712585 number of use :519 number of events to predict :3586 number of events predicted: 227 dataset range :99988.185138863177
OLD: confidence: 0.39508506655693054 confidence bounds at 95%: [ 0.35342493653297424 , 0.43674519658088684 ] support: 0.059183105826377869 number of use :529 number of events to predict :3599 number of events predicted: 213 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="301" score="-11.338662925582234" creationTime="4.6870000000000003" confidence = "0.43737956881523132" support = "0.063301727175712585" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "227" datasetrange = "99988.185138863177" rulerange = "13.99300000015646" expConfidence = "0.39461060017506044" expSupport = "0.070061974395799642" baseconfidence = "0.43737956881523132" basesupport = "0.063301727175712585" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "227" basedatasetrange = "99988.185138863177" baserulerange = "13.99300000015646" baseexpConfidence = "0.39461060017506044" baseexpSupport = "0.070061974395799642" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.494250000128522" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.39508506655693054" oldsupport = "0.059183105826377869" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "213" olddatasetrange = "99936.387513848851" oldrulerange = "13.99300000015646" oldexpConfidence = "0.39586881724568057" oldexpSupport = "0.071398208288108167" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.494250000128522" testexpConfidence = "-1" testexpSupport = "-1" parentId="280" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/></bounds>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
396
similarId: *none*
base
Show/Hide
confidence: 0.24523507058620453
confidence bounds at 95%: [ 0.21517667174339294 , 0.27529346942901611 ]
support: 0.058561071753501892
number of use :787
number of events to predict :3586
number of events predicted: 210
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :16.015417289633195
density v1 :8.0174168936701668e-057
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.0486227153941492e-023
density ln. v2 :-5.3752434327768439
dist. expected v3 :11.138310579527344
density v3 :4.5834994921644156e-028
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :11.098219971955581
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :11.098219971955489
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.30582523345947266
confidence bounds at 95%: [ 0.2743648886680603 , 0.33728557825088501 ]
support: 0.073631562292575836
number of use :824
number of events to predict :3599
number of events predicted: 265
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :23.315603960946188
density v1 :3.5966163519540335e-119
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.7711320197851257e-058
density ln. v2 :-39.357765481553564
dist. expected v3 :16.700906528004186
density v3 :1.0817852772462833e-061
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :16.636342497835155
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :16.636342497835393
cum. density train v5 :0
cum. density test v5 :0
parentId:
379 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.366337138076798
creation time: 4.9649999999999999
#id:396
a
← r (temp) [ -1.009499999787657 -0.0099999997764825821 ]
( 103 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.24523507058620453 confidence bounds at 95%: [ 0.21517667174339294 , 0.27529346942901611 ] support: 0.058561071753501892 number of use :787 number of events to predict :3586 number of events predicted: 210 dataset range :99988.185138863177
OLD: confidence: 0.30582523345947266 confidence bounds at 95%: [ 0.2743648886680603 , 0.33728557825088501 ] support: 0.073631562292575836 number of use :824 number of events to predict :3599 number of events predicted: 265 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="396" score="-11.366337138076798" creationTime="4.9649999999999999" confidence = "0.24523507058620453" support = "0.058561071753501892" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "210" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.24523507058620453" basesupport = "0.058561071753501892" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "210" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.99950000001117445" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.30582523345947266" oldsupport = "0.073631562292575836" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "265" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.99950000001117445" testexpConfidence = "-1" testexpSupport = "-1" parentId="379" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
<values></values>
<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
372
similarId:
407 ,
444 ,
493
base
Show/Hide
confidence: 0.24523507058620453
confidence bounds at 95%: [ 0.21517667174339294 , 0.27529346942901611 ]
support: 0.058561071753501892
number of use :787
number of events to predict :3586
number of events predicted: 210
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :19.284133274744555
density v1 :7.0578538162103352e-082
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.4839971939422674e-035
density ln. v2 :-6.9427663961558581
dist. expected v3 :13.356603622212647
density v3 :7.2793023465976078e-040
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :13.315774724873666
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :13.315774724873444
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.30582523345947266
confidence bounds at 95%: [ 0.2743648886680603 , 0.33728557825088501 ]
support: 0.073631562292575836
number of use :824
number of events to predict :3599
number of events predicted: 265
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :27.149445645853664
density v1 :3.4940516715532824e-161
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.5551295784809468e-079
density ln. v2 :-49.024073772244662
dist. expected v3 :19.322141679891295
density v3 :3.388744651133873e-082
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :19.25869310126895
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :19.25869310126911
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.366337138076798
creation time: 4.8419999999999996
#id:372
a
← r (temp) [ -1.009499999787657 -0.0099999997764825821 ]
( 103 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.24523507058620453 confidence bounds at 95%: [ 0.21517667174339294 , 0.27529346942901611 ] support: 0.058561071753501892 number of use :787 number of events to predict :3586 number of events predicted: 210 dataset range :99988.185138863177
OLD: confidence: 0.30582523345947266 confidence bounds at 95%: [ 0.2743648886680603 , 0.33728557825088501 ] support: 0.073631562292575836 number of use :824 number of events to predict :3599 number of events predicted: 265 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="372" score="-11.366337138076798" creationTime="4.8419999999999996" confidence = "0.24523507058620453" support = "0.058561071753501892" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "210" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.24523507058620453" basesupport = "0.058561071753501892" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "210" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.99950000001117445" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.30582523345947266" oldsupport = "0.073631562292575836" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "265" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.99950000001117445" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="407" />
<i v="444" />
<i v="493" />
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<distribution_first>
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<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
702
similarId: *none*
base
Show/Hide
confidence: 0.40479999780654907
confidence bounds at 95%: [ 0.36631709337234497 , 0.44328290224075317 ]
support: 0.081148914992809296
number of use :625
number of events to predict :3586
number of events predicted: 291
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.00055128651668496283
density ln. v2 :5.2880336302177522
dist. expected v3 :-5.5002415682991126
density v3 :1.0755460250770288e-007
cum. density train v3 :1
cum. density test v3 :0.99999998098965426
dist. expected v4 :-5.3916089669350917
cum. density train v4 :1
cum. density test v4 :0.99999996500646393
dist. expected v5 :-5.3916089669351077
cum. density train v5 :1
cum. density test v5 :0.99999996500646393
old
Show/Hide
confidence: 0.41991341114044189
confidence bounds at 95%: [ 0.38316693902015686 , 0.45665988326072693 ]
support: 0.091414280235767365
number of use :693
number of events to predict :3599
number of events predicted: 329
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.002957162470061002
density ln. v2 :7.145706935178195
dist. expected v3 :-5.1112392477015591
density v3 :8.4720608785886321e-007
cum. density train v3 :1
cum. density test v3 :0.99999983969235617
dist. expected v4 :-4.9928089216628493
cum. density train v4 :1
cum. density test v4 :0.99999970199551025
dist. expected v5 :-4.9928089216628315
cum. density train v5 :1
cum. density test v5 :0.99999970199551025
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.383350777737704
creation time: 5.9909999999999997
#id:702
a
← r (temp) [ -20 -5.5072499998379492 ]
( 11 4 18 8 17 6 8 16 10 12 8 11 21 14 11 11 16 12 8 11 16 13 5 12 10 10 6 6 10 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.40479999780654907 confidence bounds at 95%: [ 0.36631709337234497 , 0.44328290224075317 ] support: 0.081148914992809296 number of use :625 number of events to predict :3586 number of events predicted: 291 dataset range :99988.185138863177
OLD: confidence: 0.41991341114044189 confidence bounds at 95%: [ 0.38316693902015686 , 0.45665988326072693 ] support: 0.091414280235767365 number of use :693 number of events to predict :3599 number of events predicted: 329 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="702" score="-11.383350777737704" creationTime="5.9909999999999997" confidence = "0.40479999780654907" support = "0.081148914992809296" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "291" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.40479999780654907" basesupport = "0.081148914992809296" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "291" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "14.492750000162051" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.41991341114044189" oldsupport = "0.091414280235767365" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "329" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "14.492750000162051" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
558
similarId: *none*
base
Show/Hide
confidence: 0.43545278906822205
confidence bounds at 95%: [ 0.39279550313949585 , 0.47811007499694824 ]
support: 0.06358058750629425
number of use :519
number of events to predict :3586
number of events predicted: 228
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :2.965761494153127
density v1 :0.0049083906865972343
cum. density train v1 :0.99999999999992473
cum. density test v1 :0.0015097415987583851
density v2 :0.014041595451229578
density ln. v2 :-11.389277901607899
dist. expected v3 :2.8939339972281424
density v3 :0.0060580608408963886
cum. density train v3 :1
cum. density test v3 :0.0019023072700287136
dist. expected v4 :2.8704076561075711
cum. density train v4 :1
cum. density test v4 :0.0020497800317440529
dist. expected v5 :2.870407656107568
cum. density train v5 :1
cum. density test v5 :0.0020497800317440529
old
Show/Hide
confidence: 0.40075615048408508
confidence bounds at 95%: [ 0.3589952290058136 , 0.44251707196235657 ]
support: 0.060572382062673569
number of use :529
number of events to predict :3599
number of events predicted: 218
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :1.2851376062217827
density v1 :0.17469252215706974
cum. density train v1 :1
cum. density test v1 :0.099372169604783345
density v2 :12.833047714785337
density ln. v2 :-3.6935101735057048
dist. expected v3 :1.217609095740928
density v3 :0.190096300930953
cum. density train v3 :1
cum. density test v3 :0.11168634478078832
dist. expected v4 :1.2073911888039999
cum. density train v4 :1
cum. density test v4 :0.11364082927016228
dist. expected v5 :1.2073911888039983
cum. density train v5 :1
cum. density test v5 :0.11364082927016272
parentId:
546 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -11.388078609328572
creation time: 5.5949999999999998
#id:558
a
← r (temp) [ -19.500249999994409 -8.0059999998658888 ]
( 10 12 13 0 8 16 18 0 16 16 16 10 21 13 9 17 9 9 18 0 12 17 12 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.43545278906822205 confidence bounds at 95%: [ 0.39279550313949585 , 0.47811007499694824 ] support: 0.06358058750629425 number of use :519 number of events to predict :3586 number of events predicted: 228 dataset range :99988.185138863177
OLD: confidence: 0.40075615048408508 confidence bounds at 95%: [ 0.3589952290058136 , 0.44251707196235657 ] support: 0.060572382062673569 number of use :529 number of events to predict :3599 number of events predicted: 218 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="558" score="-11.388078609328572" creationTime="5.5949999999999998" confidence = "0.43545278906822205" support = "0.06358058750629425" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "228" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.43545278906822205" basesupport = "0.06358058750629425" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "228" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.49425000012852" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.40075615048408508" oldsupport = "0.060572382062673569" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "218" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.49425000012852" testexpConfidence = "-1" testexpSupport = "-1" parentId="546" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
577
similarId: *none*
base
Show/Hide
confidence: 0.4219653308391571
confidence bounds at 95%: [ 0.37947523593902588 , 0.46445542573928833 ]
support: 0.059676520526409149
number of use :519
number of events to predict :3586
number of events predicted: 214
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :2.3302246692700357
density v1 :0.026412654730106989
cum. density train v1 :1
cum. density test v1 :0.0098971178336608734
density v2 :0.036853029879828483
density ln. v2 :-9.3742012123568479
dist. expected v3 :2.2453579412127689
density v3 :0.032072552552517598
cum. density train v3 :1
cum. density test v3 :0.012372541908225121
dist. expected v4 :2.2271042226022715
cum. density train v4 :1
cum. density test v4 :0.012970111377470062
dist. expected v5 :2.2271042226022693
cum. density train v5 :1
cum. density test v5 :0.012970111377470173
old
Show/Hide
confidence: 0.37618148326873779
confidence bounds at 95%: [ 0.33489993214607239 , 0.4174630343914032 ]
support: 0.053626008331775665
number of use :529
number of events to predict :3599
number of events predicted: 193
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :0.11683028936508112
density v1 :0.39622890513455433
cum. density train v1 :1
cum. density test v1 :0.45349722502451351
density v2 :10.030313014466602
density ln. v2 :-0.37659858362932958
dist. expected v3 :0.026495217527177754
density v3 :0.39880227692075321
cum. density train v3 :1
cum. density test v3 :0.48943112484580709
dist. expected v4 :0.026272875506316271
cum. density train v4 :1
cum. density test v4 :0.48951979588054284
dist. expected v5 :0.02627287550631623
cum. density train v5 :1
cum. density test v5 :0.48951979588054284
parentId:
546 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -11.395547284413261
creation time: 5.6310000000000002
#id:577
a
← r (temp) [ -17.00149999996647 -8.0059999998658888 ]
( 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.4219653308391571 confidence bounds at 95%: [ 0.37947523593902588 , 0.46445542573928833 ] support: 0.059676520526409149 number of use :519 number of events to predict :3586 number of events predicted: 214 dataset range :99988.185138863177
OLD: confidence: 0.37618148326873779 confidence bounds at 95%: [ 0.33489993214607239 , 0.4174630343914032 ] support: 0.053626008331775665 number of use :529 number of events to predict :3599 number of events predicted: 193 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="577" score="-11.395547284413261" creationTime="5.6310000000000002" confidence = "0.4219653308391571" support = "0.059676520526409149" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "214" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.4219653308391571" basesupport = "0.059676520526409149" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "214" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "8.9955000001005807" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.37618148326873779" oldsupport = "0.053626008331775665" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "193" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "8.9955000001005807" testexpConfidence = "-1" testexpSupport = "-1" parentId="546" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
143
similarId: *none*
base
Show/Hide
confidence: 0.44123312830924988
confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ]
support: 0.065253764390945435
number of use :519
number of events to predict :3586
number of events predicted: 234
dataset range :99988.185138863177
rule range :14.492750000162051
exp. confidence :0.40536594600772557
exp. support :0.07247145874086236
std. error exp. confidence :0.021550871653530642
std. error exp. support :0.0043295424295029259
dist. expected v1 :1.664303090759127
density v1 :0.099869502305809349
cum. density train v1 :1
cum. density test v1 :0.048025917996498024
density v2 :0.68526568916121489
density ln. v2 :-5.9705358674261717
dist. expected v3 :1.5826793185035288
density v3 :0.11402067973962542
cum. density train v3 :1
cum. density test v3 :0.056747292147564687
dist. expected v4 :1.5678429691212614
cum. density train v4 :1
cum. density test v4 :0.058458901524131468
dist. expected v5 :1.567842969121257
cum. density train v5 :1
cum. density test v5 :0.058458901524131912
old
Show/Hide
confidence: 0.39508506655693054
confidence bounds at 95%: [ 0.35342493653297424 , 0.43674519658088684 ]
support: 0.061128091067075729
number of use :529
number of events to predict :3599
number of events predicted: 220
dataset range :99936.387513848851
rule range :14.492750000162051
exp. confidence :0.40664590364355047
exp. support :0.073851797522660467
std. error exp. confidence :0.021356856882614576
std. error exp. support :0.0043594314795037245
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :101.21346032782159
density ln. v2 :1.2532811772779049
dist. expected v3 :-0.61558674445101591
density v3 :0.33008269890441777
cum. density train v3 :1
cum. density test v3 :0.73091640219118248
dist. expected v4 :-0.60963007691944382
cum. density train v4 :1
cum. density test v4 :0.72894660975888481
dist. expected v5 :-0.60963007691944537
cum. density train v5 :1
cum. density test v5 :0.72894660975888526
parentId:
134 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.439542302469889
creation time: 4.2690000000000001
#id:143
a
← r (temp) [ -19.500249999994409 -5.5072499998379492 ]
( 10 12 13 20 8 16 18 0 16 16 0 10 21 0 0 17 9 9 0 0 12 17 12 0 0 14 13 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 32 25 23 35 34 32 31 30 30 )
BASE: confidence: 0.44123312830924988 confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ] support: 0.065253764390945435 number of use :519 number of events to predict :3586 number of events predicted: 234 dataset range :99988.185138863177
OLD: confidence: 0.39508506655693054 confidence bounds at 95%: [ 0.35342493653297424 , 0.43674519658088684 ] support: 0.061128091067075729 number of use :529 number of events to predict :3599 number of events predicted: 220 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="143" score="-11.439542302469889" creationTime="4.2690000000000001" confidence = "0.44123312830924988" support = "0.065253764390945435" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "234" datasetrange = "99988.185138863177" rulerange = "14.492750000162051" expConfidence = "0.40536594600772557" expSupport = "0.07247145874086236" baseconfidence = "0.44123312830924988" basesupport = "0.065253764390945435" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "234" basedatasetrange = "99988.185138863177" baserulerange = "14.492750000162051" baseexpConfidence = "0.40536594600772557" baseexpSupport = "0.07247145874086236" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.99300000015646" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.39508506655693054" oldsupport = "0.061128091067075729" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "220" olddatasetrange = "99936.387513848851" oldrulerange = "14.492750000162051" oldexpConfidence = "0.40664590364355047" oldexpSupport = "0.073851797522660467" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.99300000015646" testexpConfidence = "-1" testexpSupport = "-1" parentId="134" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
216
similarId: *none*
base
Show/Hide
confidence: 0.44123312830924988
confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ]
support: 0.065253764390945435
number of use :519
number of events to predict :3586
number of events predicted: 234
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :1.1695283126735909
density v1 :0.20132459554316962
cum. density train v1 :1
cum. density test v1 :0.12109548083265853
density v2 :1.6397552523155294
density ln. v2 :-4.1330524411556686
dist. expected v3 :1.082493724473268
density v3 :0.22205395969249048
cum. density train v3 :1
cum. density test v3 :0.13951664026009447
dist. expected v4 :1.0718789994419933
cum. density train v4 :1
cum. density test v4 :0.14188722764476513
dist. expected v5 :1.0718789994419919
cum. density train v5 :1
cum. density test v5 :0.14188722764476536
old
Show/Hide
confidence: 0.39508506655693054
confidence bounds at 95%: [ 0.35342493653297424 , 0.43674519658088684 ]
support: 0.061128091067075729
number of use :529
number of events to predict :3599
number of events predicted: 220
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :73.003667777786575
density ln. v2 :2.355991289605496
dist. expected v3 :-1.1129201665074453
density v3 :0.21475999392521619
cum. density train v3 :1
cum. density test v3 :0.8671285931456123
dist. expected v4 :-1.1016553477605708
cum. density train v4 :1
cum. density test v4 :0.86469418714054758
dist. expected v5 :-1.1016553477605688
cum. density train v5 :1
cum. density test v5 :0.86469418714054713
parentId:
201 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.439542302469889
creation time: 4.4630000000000001
#id:216
a
← r (temp) [ -19.500249999994409 -5.5072499998379492 ]
( 10 12 13 20 8 16 18 0 16 16 0 10 21 0 0 17 9 9 0 0 12 17 12 0 0 14 13 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
BASE: confidence: 0.44123312830924988 confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ] support: 0.065253764390945435 number of use :519 number of events to predict :3586 number of events predicted: 234 dataset range :99988.185138863177
OLD: confidence: 0.39508506655693054 confidence bounds at 95%: [ 0.35342493653297424 , 0.43674519658088684 ] support: 0.061128091067075729 number of use :529 number of events to predict :3599 number of events predicted: 220 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="216" score="-11.439542302469889" creationTime="4.4630000000000001" confidence = "0.44123312830924988" support = "0.065253764390945435" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "234" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.44123312830924988" basesupport = "0.065253764390945435" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "234" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.99300000015646" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.39508506655693054" oldsupport = "0.061128091067075729" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "220" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.99300000015646" testexpConfidence = "-1" testexpSupport = "-1" parentId="201" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
296
similarId: *none*
base
Show/Hide
confidence: 0.41618496179580688
confidence bounds at 95%: [ 0.37377643585205078 , 0.45859348773956299 ]
support: 0.058561071753501892
number of use :519
number of events to predict :3586
number of events predicted: 210
dataset range :99988.185138863177
rule range :13.99300000015646
exp. confidence :0.39461060017506044
exp. support :0.070061974395799642
std. error exp. confidence :0.021454485336386147
std. error exp. support :0.0042624867953882789
dist. expected v1 :1.0055874695887945
density v1 :0.24061873450456761
cum. density train v1 :1
cum. density test v1 :0.15730703904118959
density v2 :0.65688899190295447
density ln. v2 :-3.8624205437896149
dist. expected v3 :0.90896396495195253
density v3 :0.26393662063897333
cum. density train v3 :1
cum. density test v3 :0.1816845478778164
dist. expected v4 :0.90082778714790313
cum. density train v4 :1
cum. density test v4 :0.18383991654229859
dist. expected v5 :0.9008277871479039
cum. density train v5 :1
cum. density test v5 :0.18383991654229836
old
Show/Hide
confidence: 0.38185253739356995
confidence bounds at 95%: [ 0.3404504656791687 , 0.42325460910797119 ]
support: 0.053626008331775665
number of use :529
number of events to predict :3599
number of events predicted: 193
dataset range :99936.387513848851
rule range :13.99300000015646
exp. confidence :0.39586881724568057
exp. support :0.071398208288108167
std. error exp. confidence :0.021262456452656377
std. error exp. support :0.004292076875711516
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :4.1881395940793684
density ln. v2 :2.2479484846202262
dist. expected v3 :-0.76552185015935581
density v3 :0.29761624680923204
cum. density train v3 :1
cum. density test v3 :0.77801963592453149
dist. expected v4 :-0.75844867706048225
cum. density train v4 :1
cum. density test v4 :0.77590885372066043
dist. expected v5 :-0.75844867706048014
cum. density train v5 :1
cum. density test v5 :0.77590885372065999
parentId:
280 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.447911538411065
creation time: 4.6669999999999998
#id:296
a
← r (temp) [ -17.50124999997206 -8.5057499998714778 ]
( 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 33 31 24 22 34 31 32 29 29 30 )
BASE: confidence: 0.41618496179580688 confidence bounds at 95%: [ 0.37377643585205078 , 0.45859348773956299 ] support: 0.058561071753501892 number of use :519 number of events to predict :3586 number of events predicted: 210 dataset range :99988.185138863177
OLD: confidence: 0.38185253739356995 confidence bounds at 95%: [ 0.3404504656791687 , 0.42325460910797119 ] support: 0.053626008331775665 number of use :529 number of events to predict :3599 number of events predicted: 193 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="296" score="-11.447911538411065" creationTime="4.6669999999999998" confidence = "0.41618496179580688" support = "0.058561071753501892" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "210" datasetrange = "99988.185138863177" rulerange = "13.99300000015646" expConfidence = "0.39461060017506044" expSupport = "0.070061974395799642" baseconfidence = "0.41618496179580688" basesupport = "0.058561071753501892" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "210" basedatasetrange = "99988.185138863177" baserulerange = "13.99300000015646" baseexpConfidence = "0.39461060017506044" baseexpSupport = "0.070061974395799642" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "8.9955000001005825" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.38185253739356995" oldsupport = "0.053626008331775665" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "193" olddatasetrange = "99936.387513848851" oldrulerange = "13.99300000015646" oldexpConfidence = "0.39586881724568057" oldexpSupport = "0.071398208288108167" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "8.9955000001005825" testexpConfidence = "-1" testexpSupport = "-1" parentId="280" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
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<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
370
similarId:
405 ,
442
base
Show/Hide
confidence: 0.24650572240352631
confidence bounds at 95%: [ 0.21639493107795715 , 0.27661651372909546 ]
support: 0.054935861378908157
number of use :787
number of events to predict :3586
number of events predicted: 197
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :18.354150126777132
density v1 :2.814951156307497e-074
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.5356124381902567e-037
density ln. v2 :-28.12681608524861
dist. expected v3 :13.398621244017834
density v3 :4.1492996718630826e-040
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :13.357663905855452
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :13.35766390585523
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.32524272799491882
confidence bounds at 95%: [ 0.29325598478317261 , 0.35722947120666504 ]
support: 0.080577939748764038
number of use :824
number of events to predict :3599
number of events predicted: 290
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :30.362857001166468
density v1 :2.583441751028807e-201
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.0389067224976325e-094
density ln. v2 :-45.572942807328921
dist. expected v3 :21.212484946072458
density v3 :7.7852185610618751e-099
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :21.142829002069266
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :21.14282900206944
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.473472910781879
creation time: 4.8380000000000001
#id:370
a
← r (temp) [ -1.509249999793248 -0.50974999978206981 ]
( 106 103 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.24650572240352631 confidence bounds at 95%: [ 0.21639493107795715 , 0.27661651372909546 ] support: 0.054935861378908157 number of use :787 number of events to predict :3586 number of events predicted: 197 dataset range :99988.185138863177
OLD: confidence: 0.32524272799491882 confidence bounds at 95%: [ 0.29325598478317261 , 0.35722947120666504 ] support: 0.080577939748764038 number of use :824 number of events to predict :3599 number of events predicted: 290 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="370" score="-11.473472910781879" creationTime="4.8380000000000001" confidence = "0.24650572240352631" support = "0.054935861378908157" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "197" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.24650572240352631" basesupport = "0.054935861378908157" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "197" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.99950000001117822" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.32524272799491882" oldsupport = "0.080577939748764038" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "290" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.99950000001117822" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="405" />
<i v="442" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="106"/><i v="103"/></values>
<bounds><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="111"/><i v="114"/><i v="93"/><i v="95"/><i v="121"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
632
similarId: *none*
base
Show/Hide
confidence: 0.44123312830924988
confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ]
support: 0.065253764390945435
number of use :519
number of events to predict :3586
number of events predicted: 234
dataset range :99988.185138863177
rule range :14.99250000016764
exp. confidence :0.41593026474310191
exp. support :0.074874712071106631
std. error exp. confidence :0.021635101341244627
std. error exp. support :0.0043950388284095939
dist. expected v1 :1.1695283126735909
density v1 :0.20132459554316962
cum. density train v1 :1
cum. density test v1 :0.12109548083265853
density v2 :1.6397552523155294
density ln. v2 :-4.1330524411556686
dist. expected v3 :1.082493724473268
density v3 :0.22205395969249048
cum. density train v3 :1
cum. density test v3 :0.13951664026009447
dist. expected v4 :1.0718789994419933
cum. density train v4 :1
cum. density test v4 :0.14188722764476513
dist. expected v5 :1.0718789994419919
cum. density train v5 :1
cum. density test v5 :0.14188722764476536
old
Show/Hide
confidence: 0.39508506655693054
confidence bounds at 95%: [ 0.35342493653297424 , 0.43674519658088684 ]
support: 0.061128091067075729
number of use :529
number of events to predict :3599
number of events predicted: 220
dataset range :99936.387513848851
rule range :14.99250000016764
exp. confidence :0.41723079023570542
exp. support :0.076298916007275452
std. error exp. confidence :0.021439203085722187
std. error exp. support :0.0044252110406719164
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :73.003667777786575
density ln. v2 :2.355991289605496
dist. expected v3 :-1.1129201665074453
density v3 :0.21475999392521619
cum. density train v3 :1
cum. density test v3 :0.8671285931456123
dist. expected v4 :-1.1016553477605708
cum. density train v4 :1
cum. density test v4 :0.86469418714054758
dist. expected v5 :-1.1016553477605688
cum. density train v5 :1
cum. density test v5 :0.86469418714054713
parentId:
617 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -11.480088815073648
creation time: 5.8029999999999999
#id:632
a
← r (temp) [ -19.500249999994409 -5.5072499998379492 ]
( 10 12 13 20 8 16 18 0 16 16 0 10 21 0 0 17 9 9 0 0 12 17 12 0 0 14 13 13 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 34 32 25 23 36 34 32 31 30 30 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.44123312830924988 confidence bounds at 95%: [ 0.39851406216621399 , 0.48395219445228577 ] support: 0.065253764390945435 number of use :519 number of events to predict :3586 number of events predicted: 234 dataset range :99988.185138863177
OLD: confidence: 0.39508506655693054 confidence bounds at 95%: [ 0.35342493653297424 , 0.43674519658088684 ] support: 0.061128091067075729 number of use :529 number of events to predict :3599 number of events predicted: 220 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="632" score="-11.480088815073648" creationTime="5.8029999999999999" confidence = "0.44123312830924988" support = "0.065253764390945435" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "234" datasetrange = "99988.185138863177" rulerange = "14.99250000016764" expConfidence = "0.41593026474310191" expSupport = "0.074874712071106631" baseconfidence = "0.44123312830924988" basesupport = "0.065253764390945435" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "234" basedatasetrange = "99988.185138863177" baserulerange = "14.99250000016764" baseexpConfidence = "0.41593026474310191" baseexpSupport = "0.074874712071106631" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "13.99300000015646" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.39508506655693054" oldsupport = "0.061128091067075729" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "220" olddatasetrange = "99936.387513848851" oldrulerange = "14.99250000016764" oldexpConfidence = "0.41723079023570542" oldexpSupport = "0.076298916007275452" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "13.99300000015646" testexpConfidence = "-1" testexpSupport = "-1" parentId="617" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
274
similarId: *none*
base
Show/Hide
confidence: 0.40847784280776978
confidence bounds at 95%: [ 0.36618739366531372 , 0.45076829195022583 ]
support: 0.058839932084083557
number of use :519
number of events to predict :3586
number of events predicted: 211
dataset range :99988.185138863177
rule range :15.492250000173231
exp. confidence :0.42630694830917171
exp. support :0.07727175046923429
std. error exp. confidence :0.021707875475812845
std. error exp. support :0.0044590479354880358
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :6.6844334122573121
density ln. v2 :2.6405034863909389
dist. expected v3 :-0.92483507358414718
density v3 :0.26012357046044965
cum. density train v3 :1
cum. density test v3 :0.822474168029385
dist. expected v4 :-0.91535919524272968
cum. density train v4 :1
cum. density test v4 :0.81999847717271312
dist. expected v5 :-0.91535919524273246
cum. density train v5 :1
cum. density test v5 :0.8199984771727139
old
Show/Hide
confidence: 0.38563326001167297
confidence bounds at 95%: [ 0.34415414929389954 , 0.42711237072944641 ]
support: 0.055570993572473526
number of use :529
number of events to predict :3599
number of events predicted: 200
dataset range :99936.387513848851
rule range :15.492250000173231
exp. confidence :0.42762690379987212
exp. support :0.078739580774717099
std. error exp. confidence :0.021510191673586216
std. error exp. support :0.004489488176044055
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :2.6107728240503696
density ln. v2 :5.8841011557077207
dist. expected v3 :-2.0659506776901395
density v3 :0.047216369525793833
cum. density train v3 :1
cum. density test v3 :0.98058349720898863
dist. expected v4 :-2.0441008188325456
cum. density train v4 :1
cum. density test v4 :0.97952827311794621
dist. expected v5 :-2.0441008188325456
cum. density train v5 :1
cum. density test v5 :0.97952827311794621
parentId:
241 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.513179101277277
creation time: 4.601
#id:274
a
← r (temp) [ -16.501749999960889 -7.5062499998603016 ]
( 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 12 9 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 35 33 25 24 36 34 33 31 31 30 )
BASE: confidence: 0.40847784280776978 confidence bounds at 95%: [ 0.36618739366531372 , 0.45076829195022583 ] support: 0.058839932084083557 number of use :519 number of events to predict :3586 number of events predicted: 211 dataset range :99988.185138863177
OLD: confidence: 0.38563326001167297 confidence bounds at 95%: [ 0.34415414929389954 , 0.42711237072944641 ] support: 0.055570993572473526 number of use :529 number of events to predict :3599 number of events predicted: 200 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="274" score="-11.513179101277277" creationTime="4.601" confidence = "0.40847784280776978" support = "0.058839932084083557" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "211" datasetrange = "99988.185138863177" rulerange = "15.492250000173231" expConfidence = "0.42630694830917171" expSupport = "0.07727175046923429" baseconfidence = "0.40847784280776978" basesupport = "0.058839932084083557" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "211" basedatasetrange = "99988.185138863177" baserulerange = "15.492250000173231" baseexpConfidence = "0.42630694830917171" baseexpSupport = "0.07727175046923429" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "8.9955000001005878" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.38563326001167297" oldsupport = "0.055570993572473526" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "200" olddatasetrange = "99936.387513848851" oldrulerange = "15.492250000173231" oldexpConfidence = "0.42762690379987212" oldexpSupport = "0.078739580774717099" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "8.9955000001005878" testexpConfidence = "-1" testexpSupport = "-1" parentId="241" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
565
similarId: *none*
base
Show/Hide
confidence: 0.41040462255477905
confidence bounds at 95%: [ 0.368083655834198 , 0.45272558927536011 ]
support: 0.058839932084083557
number of use :519
number of events to predict :3586
number of events predicted: 211
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :1.7854774150675921
density v1 :0.081032632662625073
cum. density train v1 :1
cum. density test v1 :0.037091906232658123
density v2 :0.6027709347381508
density ln. v2 :-6.3969789150818528
dist. expected v3 :1.7061989369102817
density v3 :0.093061385971891911
cum. density train v3 :1
cum. density test v3 :0.043985492243203694
dist. expected v4 :1.6923283309297188
cum. density train v4 :1
cum. density test v4 :0.045291667098007471
dist. expected v5 :1.6923283309297168
cum. density train v5 :1
cum. density test v5 :0.045291667098007693
old
Show/Hide
confidence: 0.36862003803253174
confidence bounds at 95%: [ 0.32750856876373291 , 0.40973150730133057 ]
support: 0.051958877593278885
number of use :529
number of events to predict :3599
number of events predicted: 187
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :9.7044363400600897
density ln. v2 :0.7829556109328869
dist. expected v3 :-0.33678548446288753
density v3 :0.37694697003051836
cum. density train v3 :1
cum. density test v3 :0.63186062447321945
dist. expected v4 :-0.33395925496937678
cum. density train v4 :1
cum. density test v4 :0.63079477971948172
dist. expected v5 :-0.33395925496937634
cum. density train v5 :1
cum. density test v5 :0.63079477971948172
parentId:
546 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -11.53490199022381
creation time: 5.6070000000000002
#id:565
a
← r (temp) [ -18.000999999977651 -9.0054999998770651 ]
( 20 8 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.41040462255477905 confidence bounds at 95%: [ 0.368083655834198 , 0.45272558927536011 ] support: 0.058839932084083557 number of use :519 number of events to predict :3586 number of events predicted: 211 dataset range :99988.185138863177
OLD: confidence: 0.36862003803253174 confidence bounds at 95%: [ 0.32750856876373291 , 0.40973150730133057 ] support: 0.051958877593278885 number of use :529 number of events to predict :3599 number of events predicted: 187 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="565" score="-11.53490199022381" creationTime="5.6070000000000002" confidence = "0.41040462255477905" support = "0.058839932084083557" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "211" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.41040462255477905" basesupport = "0.058839932084083557" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "211" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "8.995500000100586" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.36862003803253174" oldsupport = "0.051958877593278885" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "187" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "8.995500000100586" testexpConfidence = "-1" testexpSupport = "-1" parentId="546" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
389
similarId: *none*
base
Show/Hide
confidence: 0.24015247821807861
confidence bounds at 95%: [ 0.21030721068382263 , 0.26999774575233459 ]
support: 0.056051310151815414
number of use :787
number of events to predict :3586
number of events predicted: 201
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :15.045201882997329
density v1 :2.8046149769237524e-050
cum. density train v1 :0
cum. density test v1 :0
density v2 :9.5546231463192416e-022
density ln. v2 :-9.5637911775914066
dist. expected v3 :10.670799367458864
density v3 :7.5029352778756266e-026
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :10.632391493404416
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :10.632391493404327
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.23786407709121704
confidence bounds at 95%: [ 0.20879219472408295 , 0.26693594455718994 ]
support: 0.056404557079076767
number of use :824
number of events to predict :3599
number of events predicted: 203
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :14.651978656647957
density v1 :9.630225607212775e-048
cum. density train v1 :0
cum. density test v1 :0
density v2 :6.2858359559621599e-022
density ln. v2 :-14.914463242063933
dist. expected v3 :10.629774369521693
density v3 :1.161412826828531e-025
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :10.588680727572797
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :10.588680727572948
cum. density train v5 :0
cum. density test v5 :0
parentId:
379 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.53771527375795
creation time: 4.9450000000000003
#id:389
a
← r (temp) [ -3.0084999998100099 -2.008999999798835 ]
( 89 120 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.24015247821807861 confidence bounds at 95%: [ 0.21030721068382263 , 0.26999774575233459 ] support: 0.056051310151815414 number of use :787 number of events to predict :3586 number of events predicted: 201 dataset range :99988.185138863177
OLD: confidence: 0.23786407709121704 confidence bounds at 95%: [ 0.20879219472408295 , 0.26693594455718994 ] support: 0.056404557079076767 number of use :824 number of events to predict :3599 number of events predicted: 203 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="389" score="-11.53771527375795" creationTime="4.9450000000000003" confidence = "0.24015247821807861" support = "0.056051310151815414" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "201" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.24015247821807861" basesupport = "0.056051310151815414" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "201" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.99950000001117489" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.23786407709121704" oldsupport = "0.056404557079076767" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "203" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.99950000001117489" testexpConfidence = "-1" testexpSupport = "-1" parentId="379" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
354
similarId:
435 ,
485
base
Show/Hide
confidence: 0.24015247821807861
confidence bounds at 95%: [ 0.21030721068382263 , 0.26999774575233459 ]
support: 0.056051310151815414
number of use :787
number of events to predict :3586
number of events predicted: 201
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :18.240945607316903
density v1 :2.2338463734750014e-073
cum. density train v1 :0
cum. density test v1 :0
density v2 :8.3325211816106932e-033
density ln. v2 :-12.40996203963185
dist. expected v3 :12.858332621790973
density v3 :4.994568396539725e-037
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :12.819026855339056
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :12.819026855338842
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.23786407709121704
confidence bounds at 95%: [ 0.20879219472408295 , 0.26693594455718994 ]
support: 0.056404557079076767
number of use :824
number of events to predict :3599
number of events predicted: 203
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :17.866135570308757
density v1 :1.939864001023277e-070
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.2710231703252884e-033
density ln. v2 :-19.408930100841758
dist. expected v3 :12.851916723522043
density v3 :5.4239708339510902e-037
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :12.809714577290556
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :12.809714577290663
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.53771527375795
creation time: 4.7850000000000001
#id:354
a
← r (temp) [ -3.0084999998100099 -2.008999999798835 ]
( 89 120 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.24015247821807861 confidence bounds at 95%: [ 0.21030721068382263 , 0.26999774575233459 ] support: 0.056051310151815414 number of use :787 number of events to predict :3586 number of events predicted: 201 dataset range :99988.185138863177
OLD: confidence: 0.23786407709121704 confidence bounds at 95%: [ 0.20879219472408295 , 0.26693594455718994 ] support: 0.056404557079076767 number of use :824 number of events to predict :3599 number of events predicted: 203 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="354" score="-11.53771527375795" creationTime="4.7850000000000001" confidence = "0.24015247821807861" support = "0.056051310151815414" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "201" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.24015247821807861" basesupport = "0.056051310151815414" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "201" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.99950000001117489" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.23786407709121704" oldsupport = "0.056404557079076767" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "203" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.99950000001117489" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<i v="485" />
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<distribution_first>
<values></values>
<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
22
similarId: *none*
base
Show/Hide
confidence: 0.33100000023841858
confidence bounds at 95%: [ 0.30183357000350952 , 0.36016643047332764 ]
support: 0.097322925925254822
number of use :1000
number of events to predict :3586
number of events predicted: 349
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :2.4658889578929358e-026
density ln. v2 :15.499331644673164
dist. expected v3 :-11.98510388054958
density v3 :2.5662018562452883e-032
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-11.524662234852581
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-11.524662234852643
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.29399999976158142
confidence bounds at 95%: [ 0.26576212048530579 , 0.32223787903785706 ]
support: 0.091136425733566284
number of use :1000
number of events to predict :3599
number of events predicted: 328
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :2.5878775911411495e-039
density ln. v2 :2.2995395797956424
dist. expected v3 :-14.34782820446271
density v3 :7.9239407548294136e-046
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-13.796068731274003
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-13.796068731273929
cum. density train v5 :1
cum. density test v5 :1
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -11.566395813087578
creation time: 3.5030000000000001
#id:22
a
← j (temp) [ -19.500249999994409 -7.5062499998603016 ]
( 40 23 34 41 0 0 0 0 0 0 0 0 0 0 0 0 0 0 30 31 41 41 34 48 )
BASE: confidence: 0.33100000023841858 confidence bounds at 95%: [ 0.30183357000350952 , 0.36016643047332764 ] support: 0.097322925925254822 number of use :1000 number of events to predict :3586 number of events predicted: 349 dataset range :99988.185138863177
OLD: confidence: 0.29399999976158142 confidence bounds at 95%: [ 0.26576212048530579 , 0.32223787903785706 ] support: 0.091136425733566284 number of use :1000 number of events to predict :3599 number of events predicted: 328 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="22" score="-11.566395813087578" creationTime="3.5030000000000001" confidence = "0.33100000023841858" support = "0.097322925925254822" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "349" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.33100000023841858" basesupport = "0.097322925925254822" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "349" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "11.994000000134108" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.29399999976158142" oldsupport = "0.091136425733566284" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "328" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "11.994000000134108" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
<values></values>
<bounds></bounds>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
395
similarId: *none*
base
Show/Hide
confidence: 0.265565425157547
confidence bounds at 95%: [ 0.23471003770828247 , 0.29642081260681152 ]
support: 0.062186278402805328
number of use :787
number of events to predict :3586
number of events predicted: 223
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :18.206532918936105
density v1 :4.1822642697751588e-073
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.6619585074437376e-033
density ln. v2 :-15.657653876332327
dist. expected v3 :12.891537664194264
density v3 :3.2571032733271807e-037
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :12.845136589830098
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :12.845136589829991
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.25728154182434082
confidence bounds at 95%: [ 0.22743397951126099 , 0.28712910413742065 ]
support: 0.062517367303371429
number of use :824
number of events to predict :3599
number of events predicted: 225
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :17.427581978370139
density v1 :4.4546829492344196e-067
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.0566022756667231e-030
density ln. v2 :-14.768744703864929
dist. expected v3 :12.387402346223599
density v3 :1.9061513038046713e-034
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :12.339513890740275
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :12.33951389074045
cum. density train v5 :0
cum. density test v5 :0
parentId:
379 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.620779827975124
creation time: 4.9610000000000003
#id:395
a
← r (temp) [ -2.008999999798835 -0.0099999997764825821 ]
( 110 0 0 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.265565425157547 confidence bounds at 95%: [ 0.23471003770828247 , 0.29642081260681152 ] support: 0.062186278402805328 number of use :787 number of events to predict :3586 number of events predicted: 223 dataset range :99988.185138863177
OLD: confidence: 0.25728154182434082 confidence bounds at 95%: [ 0.22743397951126099 , 0.28712910413742065 ] support: 0.062517367303371429 number of use :824 number of events to predict :3599 number of events predicted: 225 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="395" score="-11.620779827975124" creationTime="4.9610000000000003" confidence = "0.265565425157547" support = "0.062186278402805328" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "223" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.265565425157547" basesupport = "0.062186278402805328" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "223" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223525" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.25728154182434082" oldsupport = "0.062517367303371429" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "225" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223525" testexpConfidence = "-1" testexpSupport = "-1" parentId="379" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
368
similarId:
402
base
Show/Hide
confidence: 0.265565425157547
confidence bounds at 95%: [ 0.23471003770828247 , 0.29642081260681152 ]
support: 0.062186278402805328
number of use :787
number of events to predict :3586
number of events predicted: 223
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :21.628365928529043
density v1 :1.0529908914400411e-102
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.7273569302103837e-047
density ln. v2 :-19.913672903324809
dist. expected v3 :15.225183863482652
density v3 :1.8400437914989723e-051
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :15.178643029711454
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :15.178643029711202
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.25728154182434082
confidence bounds at 95%: [ 0.22743397951126099 , 0.28712910413742065 ]
support: 0.062517367303371429
number of use :824
number of events to predict :3599
number of events predicted: 225
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :20.84434399629593
density v1 :1.7919546069173084e-095
cum. density train v1 :0
cum. density test v1 :0
density v2 :4.6682538541296391e-044
density ln. v2 :-18.9018539998082
dist. expected v3 :14.725084380230085
density v3 :3.2906691332413789e-048
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :14.676731268577246
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :14.676731268577367
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.620779827975124
creation time: 4.8339999999999996
#id:368
a
← r (temp) [ -2.008999999798835 -0.0099999997764825821 ]
( 110 0 0 118 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.265565425157547 confidence bounds at 95%: [ 0.23471003770828247 , 0.29642081260681152 ] support: 0.062186278402805328 number of use :787 number of events to predict :3586 number of events predicted: 223 dataset range :99988.185138863177
OLD: confidence: 0.25728154182434082 confidence bounds at 95%: [ 0.22743397951126099 , 0.28712910413742065 ] support: 0.062517367303371429 number of use :824 number of events to predict :3599 number of events predicted: 225 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="368" score="-11.620779827975124" creationTime="4.8339999999999996" confidence = "0.265565425157547" support = "0.062186278402805328" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "223" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.265565425157547" basesupport = "0.062186278402805328" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "223" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223525" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.25728154182434082" oldsupport = "0.062517367303371429" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "225" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223525" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
<i v="402" />
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
575
similarId: *none*
base
Show/Hide
confidence: 0.40269750356674194
confidence bounds at 95%: [ 0.360502690076828 , 0.44489231705665588 ]
support: 0.056887898594141006
number of use :519
number of events to predict :3586
number of events predicted: 204
dataset range :99988.185138863177
rule range :12.993500000145289
exp. confidence :0.37251295190439171
exp. support :0.065224248123175399
std. error exp. confidence :0.021222150630761629
std. error exp. support :0.0041233776941314989
dist. expected v1 :1.4223135151343971
density v1 :0.14508632035865193
cum. density train v1 :1
cum. density test v1 :0.077467678383878358
density v2 :0.89875727907603797
density ln. v2 :-5.1679795378768958
dist. expected v3 :1.3374467947242181
density v3 :0.16311162484344291
cum. density train v3 :1
cum. density test v3 :0.090538483806867798
dist. expected v4 :1.3265739726234258
cum. density train v4 :1
cum. density test v4 :0.092324890907695356
dist. expected v5 :1.3265739726234242
cum. density train v5 :1
cum. density test v5 :0.092324890907695689
old
Show/Hide
confidence: 0.35916823148727417
confidence bounds at 95%: [ 0.31828463077545166 , 0.40005183219909668 ]
support: 0.050847455859184265
number of use :529
number of events to predict :3599
number of events predicted: 183
dataset range :99936.387513848851
rule range :12.993500000145289
exp. confidence :0.37372402585116027
exp. support :0.066471549213506509
std. error exp. confidence :0.021034420362499098
std. error exp. support :0.0041523194360154371
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :15.827398338046935
density ln. v2 :2.0775258439552782
dist. expected v3 :-0.78423445285967297
density v3 :0.29333195128112072
cum. density train v3 :1
cum. density test v3 :0.78354878684165186
dist. expected v4 :-0.77765333032693063
cum. density train v4 :1
cum. density test v4 :0.78161335820771383
dist. expected v5 :-0.77765333032692951
cum. density train v5 :1
cum. density test v5 :0.7816133582077136
parentId:
546 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 3
score: -11.621051262235911
creation time: 5.6269999999999998
#id:575
a
← r (temp) [ -17.00149999996647 -8.5057499998714778 ]
( 16 18 9 16 16 16 10 21 13 9 17 9 9 18 17 12 17 )
← j (temp) [ -4.9925000001676381 0.0099999997764825821 ]
( 31 30 22 21 34 29 26 28 27 29 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.40269750356674194 confidence bounds at 95%: [ 0.360502690076828 , 0.44489231705665588 ] support: 0.056887898594141006 number of use :519 number of events to predict :3586 number of events predicted: 204 dataset range :99988.185138863177
OLD: confidence: 0.35916823148727417 confidence bounds at 95%: [ 0.31828463077545166 , 0.40005183219909668 ] support: 0.050847455859184265 number of use :529 number of events to predict :3599 number of events predicted: 183 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="575" score="-11.621051262235911" creationTime="5.6269999999999998" confidence = "0.40269750356674194" support = "0.056887898594141006" number_of_use = "519" number_of_events_to_predict = "3586" number_of_events_predicted = "204" datasetrange = "99988.185138863177" rulerange = "12.993500000145289" expConfidence = "0.37251295190439171" expSupport = "0.065224248123175399" baseconfidence = "0.40269750356674194" basesupport = "0.056887898594141006" basenumber_of_use = "519" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "204" basedatasetrange = "99988.185138863177" baserulerange = "12.993500000145289" baseexpConfidence = "0.37251295190439171" baseexpSupport = "0.065224248123175399" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "8.4957500000949917" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.35916823148727417" oldsupport = "0.050847455859184265" oldnumber_of_use = "529" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "183" olddatasetrange = "99936.387513848851" oldrulerange = "12.993500000145289" oldexpConfidence = "0.37372402585116027" oldexpSupport = "0.066471549213506509" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "8.4957500000949917" testexpConfidence = "-1" testexpSupport = "-1" parentId="546" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
718
similarId: *none*
base
Show/Hide
confidence: 0.41280001401901245
confidence bounds at 95%: [ 0.37420076131820679 , 0.45139926671981812 ]
support: 0.078918017446994781
number of use :625
number of events to predict :3586
number of events predicted: 283
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0.0013874875082038381
density ln. v2 :8.9280753498989007
dist. expected v3 :-5.1307984854268005
density v3 :7.6645865334649019e-007
cum. density train v3 :1
cum. density test v3 :0.99999985548378145
dist. expected v4 :-5.0294625750626221
cum. density train v4 :1
cum. density test v4 :0.99999975367146943
dist. expected v5 :-5.0294625750626363
cum. density train v5 :1
cum. density test v5 :0.99999975367146943
old
Show/Hide
confidence: 0.37518036365509033
confidence bounds at 95%: [ 0.33913189172744751 , 0.41122883558273315 ]
support: 0.081133648753166199
number of use :693
number of events to predict :3599
number of events predicted: 292
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :3.090322346146269e-009
density ln. v2 :7.07319742633958
dist. expected v3 :-7.4835525785013806
density v3 :2.7535419867900416e-013
cum. density train v3 :1
cum. density test v3 :0.99999999999996358
dist. expected v4 :-7.3101544007114638
cum. density train v4 :1
cum. density test v4 :0.99999999999986555
dist. expected v5 :-7.3101544007114381
cum. density train v5 :1
cum. density test v5 :0.99999999999986555
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.657088899178726
creation time: 6.048
#id:718
a
← r (temp) [ -19.500249999994409 -0.0099999997764825821 ]
( 4 18 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 7 0 16 0 79 76 0 0 0 0 91 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.41280001401901245 confidence bounds at 95%: [ 0.37420076131820679 , 0.45139926671981812 ] support: 0.078918017446994781 number of use :625 number of events to predict :3586 number of events predicted: 283 dataset range :99988.185138863177
OLD: confidence: 0.37518036365509033 confidence bounds at 95%: [ 0.33913189172744751 , 0.41122883558273315 ] support: 0.081133648753166199 number of use :693 number of events to predict :3599 number of events predicted: 292 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="718" score="-11.657088899178726" creationTime="6.048" confidence = "0.41280001401901245" support = "0.078918017446994781" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "283" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.41280001401901245" basesupport = "0.078918017446994781" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "283" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "19.490250000217927" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.37518036365509033" oldsupport = "0.081133648753166199" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "292" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "19.490250000217927" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/><i v="-0.0099999997764825821"/></bounds>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="157"/><i v="127"/><i v="128"/><i v="158"/></values>
<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
390
similarId: *none*
base
Show/Hide
confidence: 0.265565425157547
confidence bounds at 95%: [ 0.23471003770828247 , 0.29642081260681152 ]
support: 0.060791969299316406
number of use :787
number of events to predict :3586
number of events predicted: 218
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :17.846143329439734
density v1 :2.7720915540127409e-070
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.715771923277891e-033
density ln. v2 :-22.255110015246377
dist. expected v3 :12.866142837826052
density v3 :4.5172081898551519e-037
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :12.819833168169184
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :12.819833168169076
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.29975727200508118
confidence bounds at 95%: [ 0.2684747576713562 , 0.33103978633880615 ]
support: 0.071686580777168274
number of use :824
number of events to predict :3599
number of events predicted: 258
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :22.439507988489318
density v1 :1.8215035991708025e-110
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.1076264199600909e-054
density ln. v2 :-38.725326170116858
dist. expected v3 :16.150976138060965
density v3 :9.0610205241188612e-058
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :16.08853808364227
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :16.088538083642501
cum. density train v5 :0
cum. density test v5 :0
parentId:
379 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.666132763766139
creation time: 4.9489999999999998
#id:390
a
← r (temp) [ -2.5087499998044218 -0.50974999978206981 ]
( 120 0 0 103 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.265565425157547 confidence bounds at 95%: [ 0.23471003770828247 , 0.29642081260681152 ] support: 0.060791969299316406 number of use :787 number of events to predict :3586 number of events predicted: 218 dataset range :99988.185138863177
OLD: confidence: 0.29975727200508118 confidence bounds at 95%: [ 0.2684747576713562 , 0.33103978633880615 ] support: 0.071686580777168274 number of use :824 number of events to predict :3599 number of events predicted: 258 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="390" score="-11.666132763766139" creationTime="4.9489999999999998" confidence = "0.265565425157547" support = "0.060791969299316406" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "218" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.265565425157547" basesupport = "0.060791969299316406" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "218" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.999000000022352" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.29975727200508118" oldsupport = "0.071686580777168274" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "258" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.999000000022352" testexpConfidence = "-1" testexpSupport = "-1" parentId="379" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="120"/><i v="0"/><i v="0"/><i v="103"/></values>
<bounds><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="125"/><i v="124"/><i v="105"/><i v="104"/><i v="136"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
363
similarId: *none*
base
Show/Hide
confidence: 0.265565425157547
confidence bounds at 95%: [ 0.23471003770828247 , 0.29642081260681152 ]
support: 0.060791969299316406
number of use :787
number of events to predict :3586
number of events predicted: 218
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :21.237551420605879
density v1 :4.5730962950889203e-099
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.1320566899068044e-047
density ln. v2 :-28.30443084075478
dist. expected v3 :15.19811819058887
density v3 :2.7773658483395736e-051
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :15.15166009204073
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :15.151660092040478
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.29975727200508118
confidence bounds at 95%: [ 0.2684747576713562 , 0.33103978633880615 ]
support: 0.071686580777168274
number of use :824
number of events to predict :3599
number of events predicted: 258
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :26.209385915765381
density v1 :2.726095525804392e-150
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.7148615939536254e-074
density ln. v2 :-48.363290495257615
dist. expected v3 :18.73606098844974
density v3 :2.3634512524444429e-077
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :18.674536937006934
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :18.67453693700709
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.666132763766139
creation time: 4.8179999999999996
#id:363
a
← r (temp) [ -2.5087499998044218 -0.50974999978206981 ]
( 120 0 0 103 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.265565425157547 confidence bounds at 95%: [ 0.23471003770828247 , 0.29642081260681152 ] support: 0.060791969299316406 number of use :787 number of events to predict :3586 number of events predicted: 218 dataset range :99988.185138863177
OLD: confidence: 0.29975727200508118 confidence bounds at 95%: [ 0.2684747576713562 , 0.33103978633880615 ] support: 0.071686580777168274 number of use :824 number of events to predict :3599 number of events predicted: 258 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="363" score="-11.666132763766139" creationTime="4.8179999999999996" confidence = "0.265565425157547" support = "0.060791969299316406" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "218" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.265565425157547" basesupport = "0.060791969299316406" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "218" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.999000000022352" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.29975727200508118" oldsupport = "0.071686580777168274" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "258" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.999000000022352" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="120"/><i v="0"/><i v="0"/><i v="103"/></values>
<bounds><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/><i v="-1.009499999787657"/><i v="-0.50974999978206981"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="111"/><i v="114"/><i v="93"/><i v="95"/><i v="121"/></values>
<bounds><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
700
similarId: *none*
base
Show/Hide
confidence: 0.38080000877380371
confidence bounds at 95%: [ 0.34273025393486023 , 0.41886976361274719 ]
support: 0.075292803347110748
number of use :625
number of events to predict :3586
number of events predicted: 270
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.11747199331442182
std. error exp. confidence :0.019994444524033084
std. error exp. support :0.0053768296176868726
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :4.7240301715708333e-007
density ln. v2 :5.9142262212668566
dist. expected v3 :-6.7147293485431483
density v3 :6.4604719838204725e-011
cum. density train v3 :1
cum. density test v3 :0.99999999999052669
dist. expected v4 :-6.5821099885514478
cum. density train v4 :1
cum. density test v4 :0.9999999999766892
dist. expected v5 :-6.5821099885514665
cum. density train v5 :1
cum. density test v5 :0.9999999999766892
old
Show/Hide
confidence: 0.38383838534355164
confidence bounds at 95%: [ 0.3476298451423645 , 0.42004692554473877 ]
support: 0.080855794250965118
number of use :693
number of events to predict :3599
number of events predicted: 291
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.12945231685452052
std. error exp. confidence :0.018986776110263986
std. error exp. support :0.0055957753711945299
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :4.237739925038515e-008
density ln. v2 :9.9529343567698199
dist. expected v3 :-7.0465696479978943
density v3 :6.5864247891434193e-012
cum. density train v3 :1
cum. density test v3 :0.99999999999907696
dist. expected v4 :-6.8832966137250136
cum. density train v4 :1
cum. density test v4 :0.99999999999705791
dist. expected v5 :-6.8832966137249896
cum. density train v5 :1
cum. density test v5 :0.99999999999705791
parentId:
699 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -11.668429058404547
creation time: 5.9829999999999997
#id:700
a
← r (temp) [ -20 -7.0064999998547144 ]
( 11 4 18 8 17 6 8 16 10 12 8 11 21 14 11 11 16 12 8 11 16 13 5 12 10 10 )
← r (temp) [ -2.4912500001955782 -0.49025000021793019 ]
( 157 127 128 158 )
BASE: confidence: 0.38080000877380371 confidence bounds at 95%: [ 0.34273025393486023 , 0.41886976361274719 ] support: 0.075292803347110748 number of use :625 number of events to predict :3586 number of events predicted: 270 dataset range :99988.185138863177
OLD: confidence: 0.38383838534355164 confidence bounds at 95%: [ 0.3476298451423645 , 0.42004692554473877 ] support: 0.080855794250965118 number of use :693 number of events to predict :3599 number of events predicted: 291 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="700" score="-11.668429058404547" creationTime="5.9829999999999997" confidence = "0.38080000877380371" support = "0.075292803347110748" number_of_use = "625" number_of_events_to_predict = "3586" number_of_events_predicted = "270" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.11747199331442182" baseconfidence = "0.38080000877380371" basesupport = "0.075292803347110748" basenumber_of_use = "625" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "270" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.11747199331442182" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "12.993500000145286" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.38383838534355164" oldsupport = "0.080855794250965118" oldnumber_of_use = "693" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "291" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.12945231685452052" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "12.993500000145286" testexpConfidence = "-1" testexpSupport = "-1" parentId="699" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="11"/><i v="4"/><i v="18"/><i v="8"/><i v="17"/><i v="6"/><i v="8"/><i v="16"/><i v="10"/><i v="12"/><i v="8"/><i v="11"/><i v="21"/><i v="14"/><i v="11"/><i v="11"/><i v="16"/><i v="12"/><i v="8"/><i v="11"/><i v="16"/><i v="13"/><i v="5"/><i v="12"/><i v="10"/><i v="10"/></values>
<bounds><i v="-20"/><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/></bounds>
</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="157"/><i v="127"/><i v="128"/><i v="158"/></values>
<bounds><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
28
similarId: *none*
base
Show/Hide
confidence: 0.30199998617172241
confidence bounds at 95%: [ 0.27354311943054199 , 0.33045685291290283 ]
support: 0.091466814279556274
number of use :1000
number of events to predict :3586
number of events predicted: 328
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :7.3470025913841088e-036
density ln. v2 :8.1123622331848768
dist. expected v3 :-13.783218331917979
density v3 :2.2279493309997798e-042
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-13.253697036566608
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-13.253697036566678
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.29100000858306885
confidence bounds at 95%: [ 0.26284694671630859 , 0.3191530704498291 ]
support: 0.088080018758773804
number of use :1000
number of events to predict :3599
number of events predicted: 317
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.6547912013017284e-040
density ln. v2 :6.6795275610695795
dist. expected v3 :-14.57390614970633
density v3 :3.0137664454102891e-047
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-14.013452632639376
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-14.013452632639298
cum. density train v5 :1
cum. density test v5 :1
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -11.923746340323895
creation time: 3.5110000000000001
#id:28
a
← j (temp) [ -12.503749999916179 -2.008999999798835 ]
( 28 36 33 31 30 0 0 0 0 0 0 0 0 0 0 35 38 23 35 27 28 )
BASE: confidence: 0.30199998617172241 confidence bounds at 95%: [ 0.27354311943054199 , 0.33045685291290283 ] support: 0.091466814279556274 number of use :1000 number of events to predict :3586 number of events predicted: 328 dataset range :99988.185138863177
OLD: confidence: 0.29100000858306885 confidence bounds at 95%: [ 0.26284694671630859 , 0.3191530704498291 ] support: 0.088080018758773804 number of use :1000 number of events to predict :3599 number of events predicted: 317 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="28" score="-11.923746340323895" creationTime="3.5110000000000001" confidence = "0.30199998617172241" support = "0.091466814279556274" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "328" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.30199998617172241" basesupport = "0.091466814279556274" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "328" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "10.494750000117344" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.29100000858306885" oldsupport = "0.088080018758773804" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "317" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "10.494750000117344" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="28"/><i v="36"/><i v="33"/><i v="31"/><i v="30"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="35"/><i v="38"/><i v="23"/><i v="35"/><i v="27"/><i v="28"/></values>
<bounds><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
528
similarId: *none*
base
Show/Hide
confidence: 0.22670508921146393
confidence bounds at 95%: [ 0.20126995444297791 , 0.25214022397994995 ]
support: 0.062186278402805328
number of use :1041
number of events to predict :3586
number of events predicted: 223
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.5443584788508191e-071
density ln. v2 :27.446734134076568
dist. expected v3 :-19.143481014055745
density v3 :1.0527820572547867e-080
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-18.371628182978633
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-18.371628182978732
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.19980314373970032
confidence bounds at 95%: [ 0.1752159595489502 , 0.22439032793045044 ]
support: 0.055570993572473526
number of use :1016
number of events to predict :3599
number of events predicted: 200
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :1.9450062293530915e-084
density ln. v2 :16.757763274199014
dist. expected v3 :-20.652833375595897
density v3 :9.5285922419046536e-094
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-19.843113220218019
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-19.843113220217912
cum. density train v5 :1
cum. density test v5 :1
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -12.253624752901882
creation time: 5.4279999999999999
#id:528
a
← r (temp) [ -5.0074999998323619 -3.0084999998100099 ]
( 28 34 76 116 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.22670508921146393 confidence bounds at 95%: [ 0.20126995444297791 , 0.25214022397994995 ] support: 0.062186278402805328 number of use :1041 number of events to predict :3586 number of events predicted: 223 dataset range :99988.185138863177
OLD: confidence: 0.19980314373970032 confidence bounds at 95%: [ 0.1752159595489502 , 0.22439032793045044 ] support: 0.055570993572473526 number of use :1016 number of events to predict :3599 number of events predicted: 200 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="528" score="-12.253624752901882" creationTime="5.4279999999999999" confidence = "0.22670508921146393" support = "0.062186278402805328" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "223" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.22670508921146393" basesupport = "0.062186278402805328" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "223" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.999000000022352" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.19980314373970032" oldsupport = "0.055570993572473526" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "200" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.999000000022352" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="28"/><i v="34"/><i v="76"/><i v="116"/></values>
<bounds><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="53"/><i v="53"/><i v="50"/><i v="45"/><i v="52"/><i v="45"/><i v="56"/><i v="57"/><i v="43"/><i v="50"/><i v="48"/><i v="47"/><i v="45"/><i v="39"/><i v="51"/><i v="47"/><i v="55"/><i v="47"/><i v="44"/><i v="48"/></values>
<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
542
similarId: *none*
base
Show/Hide
confidence: 0.19884726405143738
confidence bounds at 95%: [ 0.17460080981254578 , 0.22309371829032898 ]
support: 0.056609034538269043
number of use :1041
number of events to predict :3586
number of events predicted: 203
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18790771680512008
std. error exp. confidence :0.015492588553461218
std. error exp. support :0.0065233376308120065
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :2.7094181441407535e-086
density ln. v2 :17.721590142453678
dist. expected v3 :-20.898247735728841
density v3 :5.8173869442781397e-096
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-20.055643840046045
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-20.055643840046152
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.21555118262767792
confidence bounds at 95%: [ 0.1902659684419632 , 0.24083639681339264 ]
support: 0.058905251324176788
number of use :1016
number of events to predict :3599
number of events predicted: 212
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18392417572369002
std. error exp. confidence :0.015680900265711274
std. error exp. support :0.00645793607910395
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :4.5742471953622761e-076
density ln. v2 :21.559582773960678
dist. expected v3 :-19.66708372250654
density v3 :4.0702454194200712e-085
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-18.89601111479185
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-18.896011114791744
cum. density train v5 :1
cum. density test v5 :1
parentId:
511 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -12.272860842605606
creation time: 5.4720000000000004
#id:542
a
← r (temp) [ -2.5087499998044218 -1.509249999793248 ]
( 105 112 )
← j (temp) [ -9.9950000001117587 0.0099999997764825821 ]
( 53 53 50 45 52 45 56 57 43 50 48 47 45 39 51 47 55 47 44 48 )
BASE: confidence: 0.19884726405143738 confidence bounds at 95%: [ 0.17460080981254578 , 0.22309371829032898 ] support: 0.056609034538269043 number of use :1041 number of events to predict :3586 number of events predicted: 203 dataset range :99988.185138863177
OLD: confidence: 0.21555118262767792 confidence bounds at 95%: [ 0.1902659684419632 , 0.24083639681339264 ] support: 0.058905251324176788 number of use :1016 number of events to predict :3599 number of events predicted: 212 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="542" score="-12.272860842605606" creationTime="5.4720000000000004" confidence = "0.19884726405143738" support = "0.056609034538269043" number_of_use = "1041" number_of_events_to_predict = "3586" number_of_events_predicted = "203" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18790771680512008" baseconfidence = "0.19884726405143738" basesupport = "0.056609034538269043" basenumber_of_use = "1041" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "203" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18790771680512008" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.99950000001117378" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.21555118262767792" oldsupport = "0.058905251324176788" oldnumber_of_use = "1016" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "212" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18392417572369002" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.99950000001117378" testexpConfidence = "-1" testexpSupport = "-1" parentId="511" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="105"/><i v="112"/></values>
<bounds><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/></bounds>
</distribution>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="53"/><i v="53"/><i v="50"/><i v="45"/><i v="52"/><i v="45"/><i v="56"/><i v="57"/><i v="43"/><i v="50"/><i v="48"/><i v="47"/><i v="45"/><i v="39"/><i v="51"/><i v="47"/><i v="55"/><i v="47"/><i v="44"/><i v="48"/></values>
<bounds><i v="-9.9950000001117587"/><i v="-9.4947500001173459"/><i v="-8.9945000001229349"/><i v="-8.4942500001285222"/><i v="-7.9940000001341112"/><i v="-7.4937500001396984"/><i v="-6.9935000001452856"/><i v="-6.4932500001508746"/><i v="-5.9930000001564618"/><i v="-5.4927500001620508"/><i v="-4.9925000001676381"/><i v="-4.4922500001732253"/><i v="-3.992000000178813"/><i v="-3.4917500001844028"/><i v="-2.991500000189991"/><i v="-2.4912500001955782"/><i v="-1.991000000201165"/><i v="-1.490750000206752"/><i v="-0.99050000021234297"/><i v="-0.49025000021793019"/><i v="0.0099999997764825821"/></bounds>
</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
384
similarId: *none*
base
Show/Hide
confidence: 0.24904701113700867
confidence bounds at 95%: [ 0.21883249282836914 , 0.27926152944564819 ]
support: 0.053262688219547272
number of use :787
number of events to predict :3586
number of events predicted: 191
dataset range :99988.185138863177
rule range :3.4982500000391141
exp. confidence :0.11791271295582006
exp. support :0.027159330828907424
std. error exp. confidence :0.011496052307297493
std. error exp. support :0.002714408764507428
dist. expected v1 :14.919656094209005
density v1 :1.839809509414844e-049
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.293806408226898e-027
density ln. v2 :-32.189500766181773
dist. expected v3 :11.358160089542867
density v3 :3.8656461727885456e-029
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :11.317278168030994
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :11.317278168030898
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.24271844327449799
confidence bounds at 95%: [ 0.21344508230686188 , 0.2719917893409729 ]
support: 0.057793833315372467
number of use :824
number of events to predict :3599
number of events predicted: 208
dataset range :99936.387513848851
rule range :3.4982500000391141
exp. confidence :0.11837136723035968
exp. support :0.028432403617179913
std. error exp. confidence :0.011253887497171758
std. error exp. support :0.0027704631335504601
dist. expected v1 :15.31026180206768
density v1 :5.0199906871843616e-052
cum. density train v1 :0
cum. density test v1 :0
density v2 :5.919559258702125e-024
density ln. v2 :-15.458411939455962
dist. expected v3 :11.0664957808937
density v3 :1.0173432204487384e-027
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :11.023713817755054
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :11.02371381775521
cum. density train v5 :0
cum. density test v5 :0
parentId:
379 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -12.410598565446559
creation time: 4.9329999999999998
#id:384
a
← r (temp) [ -3.5082499998155972 -1.009499999787657 ]
( 97 0 0 0 106 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 125 124 105 104 136 )
BASE: confidence: 0.24904701113700867 confidence bounds at 95%: [ 0.21883249282836914 , 0.27926152944564819 ] support: 0.053262688219547272 number of use :787 number of events to predict :3586 number of events predicted: 191 dataset range :99988.185138863177
OLD: confidence: 0.24271844327449799 confidence bounds at 95%: [ 0.21344508230686188 , 0.2719917893409729 ] support: 0.057793833315372467 number of use :824 number of events to predict :3599 number of events predicted: 208 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="384" score="-12.410598565446559" creationTime="4.9329999999999998" confidence = "0.24904701113700867" support = "0.053262688219547272" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "191" datasetrange = "99988.185138863177" rulerange = "3.4982500000391141" expConfidence = "0.11791271295582006" expSupport = "0.027159330828907424" baseconfidence = "0.24904701113700867" basesupport = "0.053262688219547272" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "191" basedatasetrange = "99988.185138863177" baserulerange = "3.4982500000391141" baseexpConfidence = "0.11791271295582006" baseexpSupport = "0.027159330828907424" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.4987500000279401" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.24271844327449799" oldsupport = "0.057793833315372467" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "208" olddatasetrange = "99936.387513848851" oldrulerange = "3.4982500000391141" oldexpConfidence = "0.11837136723035968" oldexpSupport = "0.028432403617179913" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.4987500000279401" testexpConfidence = "-1" testexpSupport = "-1" parentId="379" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
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</condition>
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</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
482
similarId: *none*
base
Show/Hide
confidence: 0.24904701113700867
confidence bounds at 95%: [ 0.21883249282836914 , 0.27926152944564819 ]
support: 0.053262688219547272
number of use :787
number of events to predict :3586
number of events predicted: 191
dataset range :99988.185138863177
rule range :3.9980000000447031
exp. confidence :0.13358224221953852
exp. support :0.030978623568891805
std. error exp. confidence :0.012126924415755099
std. error exp. support :0.0028932941898482563
dist. expected v1 :12.246492015603573
density v1 :1.0812158462456373e-033
cum. density train v1 :0
cum. density test v1 :0
density v2 :2.8114682705325145e-018
density ln. v2 :-25.207405636402616
dist. expected v3 :9.4685861090573287
density v3 :1.3575775175450116e-020
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :9.4292756123380368
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :9.4292756123381434
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.24271844327449799
confidence bounds at 95%: [ 0.21344508230686188 , 0.2719917893409729 ]
support: 0.057793833315372467
number of use :824
number of events to predict :3599
number of events predicted: 208
dataset range :99936.387513848851
rule range :3.9980000000447031
exp. confidence :0.13409708930982212
exp. support :0.032427720068249899
std. error exp. confidence :0.011870818627580096
std. error exp. support :0.0029526297629750673
dist. expected v1 :12.551230185323718
density v1 :2.4715615048618896e-035
cum. density train v1 :0
cum. density test v1 :0
density v2 :1.2638447566409184e-015
density ln. v2 :-12.011847026122625
dist. expected v3 :9.1593912477240327
density v3 :2.4180325635408141e-019
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :9.1185547146191173
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :9.1185547146191119
cum. density train v5 :0
cum. density test v5 :0
parentId:
474 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -12.410598565446559
creation time: 5.2880000000000003
#id:482
a
← r (temp) [ -3.5082499998155972 -1.009499999787657 ]
( 97 0 0 0 106 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 132 130 114 108 139 )
BASE: confidence: 0.24904701113700867 confidence bounds at 95%: [ 0.21883249282836914 , 0.27926152944564819 ] support: 0.053262688219547272 number of use :787 number of events to predict :3586 number of events predicted: 191 dataset range :99988.185138863177
OLD: confidence: 0.24271844327449799 confidence bounds at 95%: [ 0.21344508230686188 , 0.2719917893409729 ] support: 0.057793833315372467 number of use :824 number of events to predict :3599 number of events predicted: 208 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="482" score="-12.410598565446559" creationTime="5.2880000000000003" confidence = "0.24904701113700867" support = "0.053262688219547272" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "191" datasetrange = "99988.185138863177" rulerange = "3.9980000000447031" expConfidence = "0.13358224221953852" expSupport = "0.030978623568891805" baseconfidence = "0.24904701113700867" basesupport = "0.053262688219547272" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "191" basedatasetrange = "99988.185138863177" baserulerange = "3.9980000000447031" baseexpConfidence = "0.13358224221953852" baseexpSupport = "0.030978623568891805" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "2.4987500000279401" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.24271844327449799" oldsupport = "0.057793833315372467" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "208" olddatasetrange = "99936.387513848851" oldrulerange = "3.9980000000447031" oldexpConfidence = "0.13409708930982212" oldexpSupport = "0.032427720068249899" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "2.4987500000279401" testexpConfidence = "-1" testexpSupport = "-1" parentId="474" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</condition>
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</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
356
similarId: *none*
base
Show/Hide
confidence: 0.22998729348182678
confidence bounds at 95%: [ 0.20058578252792358 , 0.25938880443572998 ]
support: 0.051589515060186386
number of use :787
number of events to predict :3586
number of events predicted: 185
dataset range :99988.185138863177
rule range :2.9985000000335269
exp. confidence :0.10195987412408225
exp. support :0.023325003963346025
std. error exp. confidence :0.010786365940700952
std. error exp. support :0.0025204654883875703
dist. expected v1 :16.328991132778022
density v1 :5.030936985928366e-059
cum. density train v1 :0
cum. density test v1 :0
density v2 :3.8520335086670193e-028
density ln. v2 :-19.558627099497439
dist. expected v3 :11.872616976881448
density v3 :9.8184915711145246e-032
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :11.836324377849165
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :11.836324377848968
cum. density train v5 :0
cum. density test v5 :0
old
Show/Hide
confidence: 0.26213592290878296
confidence bounds at 95%: [ 0.23210671544075012 , 0.2921651303768158 ]
support: 0.064740203320980072
number of use :824
number of events to predict :3599
number of events predicted: 233
dataset range :99936.387513848851
rule range :2.9985000000335269
exp. confidence :0.10236013002728794
exp. support :0.024420609738959875
std. error exp. confidence :0.010559731501261929
std. error exp. support :0.0025728747023930853
dist. expected v1 :21.783440085572789
density v1 :3.6356218065537534e-104
cum. density train v1 :0
cum. density test v1 :0
density v2 :7.091446815981206e-047
density ln. v2 :-14.663682628135303
dist. expected v3 :15.20768828688818
density v3 :2.4012986469676142e-051
cum. density train v3 :0
cum. density test v3 :0
dist. expected v4 :15.157750437248094
cum. density train v4 :0
cum. density test v4 :0
dist. expected v5 :15.15775043724822
cum. density train v5 :0
cum. density test v5 :0
parentId:
352 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 2
score: -12.569760159396022
creation time: 4.7930000000000001
#id:356
a
← r (temp) [ -3.0084999998100099 -1.009499999787657 ]
( 89 0 0 106 )
← r (temp) [ -2.991500000189991 -0.49025000021793019 ]
( 111 114 93 95 121 )
BASE: confidence: 0.22998729348182678 confidence bounds at 95%: [ 0.20058578252792358 , 0.25938880443572998 ] support: 0.051589515060186386 number of use :787 number of events to predict :3586 number of events predicted: 185 dataset range :99988.185138863177
OLD: confidence: 0.26213592290878296 confidence bounds at 95%: [ 0.23210671544075012 , 0.2921651303768158 ] support: 0.064740203320980072 number of use :824 number of events to predict :3599 number of events predicted: 233 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="356" score="-12.569760159396022" creationTime="4.7930000000000001" confidence = "0.22998729348182678" support = "0.051589515060186386" number_of_use = "787" number_of_events_to_predict = "3586" number_of_events_predicted = "185" datasetrange = "99988.185138863177" rulerange = "2.9985000000335269" expConfidence = "0.10195987412408225" expSupport = "0.023325003963346025" baseconfidence = "0.22998729348182678" basesupport = "0.051589515060186386" basenumber_of_use = "787" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "185" basedatasetrange = "99988.185138863177" baserulerange = "2.9985000000335269" baseexpConfidence = "0.10195987412408225" baseexpSupport = "0.023325003963346025" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223529" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.26213592290878296" oldsupport = "0.064740203320980072" oldnumber_of_use = "824" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "233" olddatasetrange = "99936.387513848851" oldrulerange = "2.9985000000335269" oldexpConfidence = "0.10236013002728794" oldexpSupport = "0.024420609738959875" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223529" testexpConfidence = "-1" testexpSupport = "-1" parentId="352" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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</distribution>
</condition>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
23
similarId: *none*
base
Show/Hide
confidence: 0.23499999940395355
confidence bounds at 95%: [ 0.20872028172016144 , 0.26127973198890686 ]
support: 0.067205801606178284
number of use :1000
number of events to predict :3586
number of events predicted: 241
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :3.132185782419129e-064
density ln. v2 :12.994605075388598
dist. expected v3 :-18.113139721572079
density v3 :2.2802221576159834e-072
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-17.417272255986298
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-17.41727225598639
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.22599999606609344
confidence bounds at 95%: [ 0.20007726550102234 , 0.25192272663116455 ]
support: 0.068074464797973633
number of use :1000
number of events to predict :3599
number of events predicted: 245
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :3.0330498251992504e-069
density ln. v2 :1.7911769275260194
dist. expected v3 :-18.718049212341107
density v3 :3.3115967322556908e-077
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-17.998228705338576
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-17.99822870533848
cum. density train v5 :1
cum. density test v5 :1
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -14.054371578042522
creation time: 3.5070000000000001
#id:23
a
← j (temp) [ -19.000499999988829 -1.509249999793248 ]
( 23 0 41 0 0 0 0 0 0 0 0 0 0 0 36 0 0 30 0 0 0 0 48 0 0 0 0 19 0 0 0 0 0 28 27 )
BASE: confidence: 0.23499999940395355 confidence bounds at 95%: [ 0.20872028172016144 , 0.26127973198890686 ] support: 0.067205801606178284 number of use :1000 number of events to predict :3586 number of events predicted: 241 dataset range :99988.185138863177
OLD: confidence: 0.22599999606609344 confidence bounds at 95%: [ 0.20007726550102234 , 0.25192272663116455 ] support: 0.068074464797973633 number of use :1000 number of events to predict :3599 number of events predicted: 245 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="23" score="-14.054371578042522" creationTime="3.5070000000000001" confidence = "0.23499999940395355" support = "0.067205801606178284" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "241" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.23499999940395355" basesupport = "0.067205801606178284" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "241" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "17.491250000195581" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.22599999606609344" oldsupport = "0.068074464797973633" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "245" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "17.491250000195581" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
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<distribution_first>
<values></values>
<bounds></bounds>
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<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
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<bounds><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/><i v="-9.0054999998770651"/><i v="-8.5057499998714778"/><i v="-8.0059999998658888"/><i v="-7.5062499998603016"/><i v="-7.0064999998547144"/><i v="-6.5067499998491254"/><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/><i v="-3.0084999998100099"/><i v="-2.5087499998044218"/><i v="-2.008999999798835"/><i v="-1.509249999793248"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
52
similarId: *none*
base
Show/Hide
confidence: 0.064333334565162659
confidence bounds at 95%: [ 0.058125227689743042 , 0.070541441440582275 ]
support: 0.10819855332374573
number of use :6000
number of events to predict :3586
number of events predicted: 388
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :-26.29157972565741
dist. expected v3 :-58.545358687886711
density v3 :0
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-73.514681468264669
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-73.514681468263149
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.069166667759418488
confidence bounds at 95%: [ 0.062746226787567139 , 0.075587108731269836 ]
support: 0.11419838666915894
number of use :6000
number of events to predict :3599
number of events predicted: 411
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :-14.128325823278983
dist. expected v3 :-58.179880952062376
density v3 :0
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-72.942966612858797
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-72.942966612860388
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -14.728636820691293
creation time: 3.5960000000000001
#id:52
a
← r (temp) [ -4.0079999998211857 -3.5082499998155972 ]
( 393 )
BASE: confidence: 0.064333334565162659 confidence bounds at 95%: [ 0.058125227689743042 , 0.070541441440582275 ] support: 0.10819855332374573 number of use :6000 number of events to predict :3586 number of events predicted: 388 dataset range :99988.185138863177
OLD: confidence: 0.069166667759418488 confidence bounds at 95%: [ 0.062746226787567139 , 0.075587108731269836 ] support: 0.11419838666915894 number of use :6000 number of events to predict :3599 number of events predicted: 411 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="52" score="-14.728636820691293" creationTime="3.5960000000000001" confidence = "0.064333334565162659" support = "0.10819855332374573" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "388" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.064333334565162659" basesupport = "0.10819855332374573" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "388" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "0.49975000000558856" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.069166667759418488" oldsupport = "0.11419838666915894" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "411" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "0.49975000000558856" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="393"/></values>
<bounds><i v="-4.0079999998211857"/><i v="-3.5082499998155972"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
21
similarId: *none*
base
Show/Hide
confidence: 0.18600000441074371
confidence bounds at 95%: [ 0.1618829220533371 , 0.21011708676815033 ]
support: 0.054099276661872864
number of use :1000
number of events to predict :3586
number of events predicted: 194
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.18122307583049202
std. error exp. confidence :0.015806996311456451
std. error exp. support :0.0064325682554152988
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :8.7228914570396711e-090
density ln. v2 :5.3619199945900382
dist. expected v3 :-21.203903320615911
density v3 :9.339265960436314e-099
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-20.389295434238814
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-20.389295434238921
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.18899999558925629
confidence bounds at 95%: [ 0.16473403573036194 , 0.21326595544815063 ]
support: 0.057793833315372467
number of use :1000
number of events to predict :3599
number of events predicted: 208
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.18130793138087065
std. error exp. confidence :0.015805849653640097
std. error exp. support :0.0064221104375978746
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :6.4689034210566242e-089
density ln. v2 :-3.9876561381152738
dist. expected v3 :-21.058954682827483
density v3 :1.9977655290795688e-097
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-20.249112414289058
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-20.249112414288948
cum. density train v5 :1
cum. density test v5 :1
parentId:
1 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -14.863987967841474
creation time: 3.5030000000000001
#id:21
a
← j (temp) [ -19.500249999994409 -9.5052499998826541 ]
( 40 23 34 41 0 0 0 0 0 0 0 0 0 0 0 0 0 0 30 31 )
BASE: confidence: 0.18600000441074371 confidence bounds at 95%: [ 0.1618829220533371 , 0.21011708676815033 ] support: 0.054099276661872864 number of use :1000 number of events to predict :3586 number of events predicted: 194 dataset range :99988.185138863177
OLD: confidence: 0.18899999558925629 confidence bounds at 95%: [ 0.16473403573036194 , 0.21326595544815063 ] support: 0.057793833315372467 number of use :1000 number of events to predict :3599 number of events predicted: 208 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="21" score="-14.863987967841474" creationTime="3.5030000000000001" confidence = "0.18600000441074371" support = "0.054099276661872864" number_of_use = "1000" number_of_events_to_predict = "3586" number_of_events_predicted = "194" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.18122307583049202" baseconfidence = "0.18600000441074371" basesupport = "0.054099276661872864" basenumber_of_use = "1000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "194" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.18122307583049202" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "9.9950000001117552" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.18899999558925629" oldsupport = "0.057793833315372467" oldnumber_of_use = "1000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "208" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.18130793138087065" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "9.9950000001117552" testexpConfidence = "-1" testexpSupport = "-1" parentId="1" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="j" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="40"/><i v="23"/><i v="34"/><i v="41"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="0"/><i v="30"/><i v="31"/></values>
<bounds><i v="-19.500249999994409"/><i v="-19.000499999988829"/><i v="-18.500749999983238"/><i v="-18.000999999977651"/><i v="-17.50124999997206"/><i v="-17.00149999996647"/><i v="-16.501749999960889"/><i v="-16.001999999955299"/><i v="-15.50224999994971"/><i v="-15.002499999944121"/><i v="-14.50274999993853"/><i v="-14.002999999932941"/><i v="-13.503249999927361"/><i v="-13.00349999992177"/><i v="-12.503749999916179"/><i v="-12.00399999991059"/><i v="-11.50424999990501"/><i v="-11.004499999899419"/><i v="-10.50474999989383"/><i v="-10.00499999988824"/><i v="-9.5052499998826541"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
45
similarId: *none*
base
Show/Hide
confidence: 0.072666667401790619
confidence bounds at 95%: [ 0.0660981684923172 , 0.079235166311264038 ]
support: 0.11656441539525986
number of use :6000
number of events to predict :3586
number of events predicted: 418
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :17.954267760178162
dist. expected v3 :-57.634597708073215
density v3 :0
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-72.371050191161103
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-72.371050191159597
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.06783333420753479
confidence bounds at 95%: [ 0.061470527201890945 , 0.074196144938468933 ]
support: 0.11114198714494705
number of use :6000
number of events to predict :3599
number of events predicted: 400
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :-5.7186731658332706
dist. expected v3 :-58.443496085254701
density v3 :0
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-73.273473818174949
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-73.273473818176555
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -15.478758887194484
creation time: 3.5619999999999998
#id:45
a
← r (temp) [ -6.0069999998435382 -4.0079999998211857 ]
( 106 107 114 122 )
BASE: confidence: 0.072666667401790619 confidence bounds at 95%: [ 0.0660981684923172 , 0.079235166311264038 ] support: 0.11656441539525986 number of use :6000 number of events to predict :3586 number of events predicted: 418 dataset range :99988.185138863177
OLD: confidence: 0.06783333420753479 confidence bounds at 95%: [ 0.061470527201890945 , 0.074196144938468933 ] support: 0.11114198714494705 number of use :6000 number of events to predict :3599 number of events predicted: 400 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="45" score="-15.478758887194484" creationTime="3.5619999999999998" confidence = "0.072666667401790619" support = "0.11656441539525986" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "418" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.072666667401790619" basesupport = "0.11656441539525986" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "418" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.9990000000223525" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.06783333420753479" oldsupport = "0.11114198714494705" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "400" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.9990000000223525" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="106"/><i v="107"/><i v="114"/><i v="122"/></values>
<bounds><i v="-6.0069999998435382"/><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/></bounds>
</distribution>
</condition>
</rule>
Show Histo
Show Histo (not H normalize)
No data for Show Histo (first)
No data for Show Histo (first -- not H normalize)
No data for Show Histo (Cum first)
No data for Show Histo (Cum first -- not H normalize)
id:
46
similarId: *none*
base
Show/Hide
confidence: 0.056000001728534698
confidence bounds at 95%: [ 0.050182178616523743 , 0.061817824840545654 ]
support: 0.08867819607257843
number of use :6000
number of events to predict :3586
number of events predicted: 318
dataset range :99988.185138863177
rule range :19.990000000223521
exp. confidence :0.51178421018151432
exp. support :0.69870386134663554
std. error exp. confidence :0.0064531792215206853
std. error exp. support :0.0076619305662251735
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :29.889591727634684
dist. expected v3 :-60.217303639982738
density v3 :0
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-75.614122027525326
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-75.614122027523749
cum. density train v5 :1
cum. density test v5 :1
old
Show/Hide
confidence: 0.053166665136814117
confidence bounds at 95%: [ 0.047489430755376816 , 0.058843899518251419 ]
support: 0.086690746247768402
number of use :6000
number of events to predict :3599
number of events predicted: 312
dataset range :99936.387513848851
rule range :19.990000000223521
exp. confidence :0.51323316766784099
exp. support :0.69889116530483486
std. error exp. confidence :0.006452711100427411
std. error exp. support :0.0076467272738386678
dist. expected v1 :0
density v1 :0.3989422804014327
cum. density train v1 :1
cum. density test v1 :0.49999999949999996
density v2 :0
density ln. v2 :3.3904774934868458
dist. expected v3 :-60.716442918643899
density v3 :0
cum. density train v3 :1
cum. density test v3 :1
dist. expected v4 :-76.123178600440127
cum. density train v4 :1
cum. density test v4 :1
dist. expected v5 :-76.12317860044179
cum. density train v5 :1
cum. density test v5 :1
parentId:
0 [Interactive]
creation: Divide [ split:-1 ]
number of condition: 1
score: -16.780062257857935
creation time: 3.5680000000000001
#id:46
a
← r (temp) [ -5.5072499998379492 -4.0079999998211857 ]
( 107 114 122 )
BASE: confidence: 0.056000001728534698 confidence bounds at 95%: [ 0.050182178616523743 , 0.061817824840545654 ] support: 0.08867819607257843 number of use :6000 number of events to predict :3586 number of events predicted: 318 dataset range :99988.185138863177
OLD: confidence: 0.053166665136814117 confidence bounds at 95%: [ 0.047489430755376816 , 0.058843899518251419 ] support: 0.086690746247768402 number of use :6000 number of events to predict :3599 number of events predicted: 312 dataset range :99936.387513848851
Divide [ split:-1 ] fires:0 )
Open picture
test
Show XML
<rule head="a" id="46" score="-16.780062257857935" creationTime="3.5680000000000001" confidence = "0.056000001728534698" support = "0.08867819607257843" number_of_use = "6000" number_of_events_to_predict = "3586" number_of_events_predicted = "318" datasetrange = "99988.185138863177" rulerange = "19.990000000223521" expConfidence = "0.51178421018151432" expSupport = "0.69870386134663554" baseconfidence = "0.056000001728534698" basesupport = "0.08867819607257843" basenumber_of_use = "6000" basenumber_of_events_to_predict = "3586" basenumber_of_events_predicted = "318" basedatasetrange = "99988.185138863177" baserulerange = "19.990000000223521" baseexpConfidence = "0.51178421018151432" baseexpSupport = "0.69870386134663554" realconfidence = "-1" realsupport = "-1" realnumber_of_use = "-1" realnumber_of_events_to_predict = "-1" realnumber_of_events_predicted = "-1" realdatasetrange = "-1" realrulerange = "1.4992500000167635" realexpConfidence = "-1" realexpSupport = "-1" oldconfidence = "0.053166665136814117" oldsupport = "0.086690746247768402" oldnumber_of_use = "6000" oldnumber_of_events_to_predict = "3599" oldnumber_of_events_predicted = "312" olddatasetrange = "99936.387513848851" oldrulerange = "19.990000000223521" oldexpConfidence = "0.51323316766784099" oldexpSupport = "0.69889116530483486" testconfidence = "-1" testsupport = "-1" testnumber_of_use = "-1" testnumber_of_events_to_predict = "-1" testnumber_of_events_predicted = "-1" testdatasetrange = "-1" testrulerange = "1.4992500000167635" testexpConfidence = "-1" testexpSupport = "-1" parentId="0" entropyGain="-1" type="1" split="-1" gaussian="-1" impList="-1" firstElement="-1" loop="-1" threathold="-1" >
<similarId>
</similarId>
<distribution_first>
<values></values>
<bounds></bounds>
</distribution_first>
<condition symbol="r" negation="0" stateConditionType="0" temporal="1" leqthreshold="-1">
<distribution>
<values><i v="107"/><i v="114"/><i v="122"/></values>
<bounds><i v="-5.5072499998379492"/><i v="-5.0074999998323619"/><i v="-4.5077499998267747"/><i v="-4.0079999998211857"/></bounds>
</distribution>
</condition>
</rule>
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